HTML Microdata document

This HTML5 document contains 488 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

Prefix	IRI
dbpedia-de	http://de.dbpedia.org/resource/
xsdh	http://www.w3.org/2001/XMLSchema#
yago	http://dbpedia.org/class/yago/
dbo	http://dbpedia.org/ontology/
dbpedia-eu	http://eu.dbpedia.org/resource/
rdf	http://www.w3.org/1999/02/22-rdf-syntax-ns#
dbpedia-ko	http://ko.dbpedia.org/resource/
n21	http://stephanhartmann.org/HajekHartmann_BayesEpist.pdf%7Carchive-url=https:/web.archive.org/web/20110728055439/http:/stephanhartmann.org/
dbpedia-simple	http://simple.dbpedia.org/resource/
wikidata	http://www.wikidata.org/entity/
owl	http://www.w3.org/2002/07/owl#
dbpedia-it	http://it.dbpedia.org/resource/
gold	http://purl.org/linguistics/gold/
n37	https://global.dbpedia.org/id/
dbpedia-th	http://th.dbpedia.org/resource/
dbpedia-et	http://et.dbpedia.org/resource/
dbr	http://dbpedia.org/resource/
n48	https://archive.org/details/essaysinmathemat0000shub/page/
n36	http://www.numdam.org/
dbpedia-ca	http://ca.dbpedia.org/resource/
n35	https://web.archive.org/web/20080227205205/http:/cepa.newschool.edu/het/texts/ramsey/
n33	http://cepa.newschool.edu/het/texts/ramsey/
dbpedia-es	http://es.dbpedia.org/resource/
dbpedia-tr	http://tr.dbpedia.org/resource/
n52	http://www-biba.inrialpes.fr/Jaynes/
dbpedia-pt	http://pt.dbpedia.org/resource/
dbpedia-nn	http://nn.dbpedia.org/resource/
n46	http://cv.dbpedia.org/resource/
dbpedia-ru	http://ru.dbpedia.org/resource/
dbpedia-hr	http://hr.dbpedia.org/resource/
dbpedia-nl	http://nl.dbpedia.org/resource/
dbpedia-sh	http://sh.dbpedia.org/resource/
prov	http://www.w3.org/ns/prov#
freebase	http://rdf.freebase.com/ns/
n24	http://jim-stone.staff.shef.ac.uk/BookBayes2012/
yago-res	http://yago-knowledge.org/resource/
dbpedia-ja	http://ja.dbpedia.org/resource/
dbpedia-ar	http://ar.dbpedia.org/resource/
dbp	http://dbpedia.org/property/
dbpedia-fa	http://fa.dbpedia.org/resource/
dbpedia-uk	http://uk.dbpedia.org/resource/
dbc	http://dbpedia.org/resource/Category:
dbt	http://dbpedia.org/resource/Template:
rdfs	http://www.w3.org/2000/01/rdf-schema#
dcterms	http://purl.org/dc/terms/
wikipedia-en	http://en.wikipedia.org/wiki/
n10	http://psychclassics.yorku.ca/Peirce/
dbpedia-sr	http://sr.dbpedia.org/resource/
n7	http://stephanhartmann.org/HartmannSprenger_BayesEpis.pdf%7Carchive-url=https:/web.archive.org/web/20110728055519/http:/stephanhartmann.org/
foaf	http://xmlns.com/foaf/0.1/
n15	https://archive.org/details/
dbpedia-zh	http://zh.dbpedia.org/resource/
dbpedia-pl	http://pl.dbpedia.org/resource/
dbpedia-he	http://he.dbpedia.org/resource/

Statements

Subject Item: dbr:Bayes_factor
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_approaches_to_brain_function
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_average
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_econometrics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_epistemology
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_game
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_inference
rdfs:seeAlso: dbr:Bayesian_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_inference_in_marketing
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_poisoning
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_probability
rdf:type: yago:Abstraction100002137 yago:Content105809192 yago:Cognition100023271 yago:WikicatProbabilityInterpretations yago:PsychologicalFeature100023100 dbo:Work yago:Representation105926676 yago:Interpretation105928513
rdfs:label: Probabilitat bayesiana Probabilità bayesiana Bayesiaanse kans Bayesscher Wahrscheinlichkeitsbegriff Баєсова ймовірність Bayestar probabilitate احتمال بيشان Probabilidad bayesiana 貝氏機率 베이즈 확률론 Prawdopodobieństwo subiektywne Probabilidade epistemológica ベイズ確率 Байесовская вероятность Bayesian probability
rdfs:comment: Ба́єсова ймові́рність (англ. Bayesian probability) — це одна з інтерпретацій поняття ймовірності. На протилежність до інтерпретування ймовірності як «частоти» або певного явища, баєсова ймовірність є величиною, що ми визначаємо з метою представлення стану знання або переконання. З баєсової точки зору ймовірність призначається гіпотезі, тоді як згідно з частотницькою точкою зору гіпотеза зазвичай перевіряється, не маючи призначеної ймовірності. Probabilitate bayesiarra probabilitate kontzeptuaren interpretazio bat da, non, fenomeno baten maiztasun edo joera izan ordez, probabilitatea arrazoizko itxaropen gisa interpretatzen da, ezagutza-egoera bat irudikatuz edo sineste pertsonal bat kuantifikatuz. Bayes terminoa Thomas Bayes XVIII. mendeko matematikari eta teologotik dator. Hark eman zuen datu estatistikoak aztertzeko bitarikoa ez den problema baten lehen tratamendu matematikoa, orain inferentzia bayesiarra deritzona erabiliz. احتمال بايز أو أرجحية النظريّة الافتراضية (بالإنجليزية: Bayesian probability)‏ هو تفسير مفهوم الاحتمال على أنه توقعات ممكنة لظاهرة ما حيث تمثل هذه التوقعات حالة من المعرفة أو مقياس لاعتقاد شخصي، بدلا من استخدام مفهوم الاحتمال التكراري. يمكن اعتبار تفسير احتمال بايز على أنه امتداد لمنطق المقترحات، والذي يمكننا من الوصول للاستنتاج بناء على الفرضيات. حيث أنه سواء كان المقترح خاطئا أو صحيحا فإنه يبقى غير مؤكد. من منظور احتمال بايز فإن الفرضيات مرتبطة باحتمال، لكن من منظور الاحتمال التكراري فإن الفرضيات عادة ما يتم اختبارها بدون ربطها بأي احتمال. El anomenat Concepte de Probabilitat Bayesià (angl. Bayesianism) del matemàtic anglès Thomas Bayes, interpreta la probabilitat com a grau de convicció personal (anglès: 'degree of belief'). Així, es diferencia de la percepció de probabilitat objectivista, com del concepte de probabilitat freqüentista , que interpreta probabilitat com freqüència relativa. El concepte de probabilitat bayesià no s'ha de confondre amb el Teorema d'En Bayes, d'ell mateix, que té nombroses aplicacions en estadística. Bayesian probability is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief. Het Bayesiaanse kansbegrip is een interpretatie van kans als redelijke verwachting die, in de objectivistische visie, de staat van kennis vertegenwoordigt, of die, in de subjectivistische visie, als kwantificering van een persoonlijke overtuiging van een bepaald verschijnsel wordt geïnterpreteerd. Beide visies staan tegenover de klassieke kansinterpretatie en de frequentistische opvatting. Prawdopodobieństwo subiektywne – interpretacja prawdopodobieństwa, według której prawdopodobieństwo nie musi być wielkością obiektywną, lecz może być określone na podstawie subiektywnej opinii osoby, zależnie od dostępnych jej aktualnie danych. Przy tej interpretacji można stosować metody rachunku prawdopodobieństwa praktycznie do wszystkiego – stwierdzania czy dany e-mail jest spamem, wyliczania szans na to, która drużyna zwycięży mecz, jaki jest poziom znajomości angielskiego kogoś, kto napisał test z danym wynikiem, czy też która z teorii na dany temat jest prawdziwa. La probabilidad bayesiana es una de las diferentes interpretaciones del concepto de probabilidad. La interpretación bayesiana de la probabilidad puede ser vista como una extensión de la lógica proposicional que permite razonar con hipótesis, es decir, las proposiciones cuya veracidad o falsedad son inciertas. Байесовская вероятность — это интерпретация понятия вероятности, используемая в байесовской теории. Вероятность определяется как степень уверенности в истинности суждения. Для определения степени уверенности в истинности суждения при получении новой информации в байесовской теории используется теорема Байеса. La probabilità bayesiana è un'interpretazione del concetto di probabilità, in cui, anziché la frequenza o la propensione di qualche fenomeno, la probabilità viene interpretata come aspettazione razionale rappresentante uno stato di conoscenza o come quantificazione di una convinzione personale. 베이즈 확률론은 베이즈 정리를 바탕으로 한 에 기반한 확률론이다. 베이즈 확률론은 확률을 일어날 수 있는 모든 경우의 수를 알고 있는 상태에서 특정한 조건의 사건이 일어날 경우의 빈도를 계산하는 고전적인 확률의 정의와 달리 어떠한 사건이 일어날 것이라는 합리적 기대의 척도로 해석한다. 이에 따라 베이즈 확률론이 다루는 확률은 어떠한 지식에 대한 신뢰나 논리적 추론의 결과로 해석된다. 베이즈 확률론은 어떤 사건이 일어날 확률을 구하기 위해 선험적인 가설로 설정된 사전 확률을 일정한 데이터를 통해 보완한 사후 확률로서 보정한다. 사전 확률은 아직 검증되지 않은 주관적 믿음이지만 이후 보정을 거쳐 되먹임 되기 때문에 점차 정확도가 향상된다. 한편 사후 확률은 일어난 사건의 결과를 놓고 그 결과가 나오게 된 원인을 생각하는 역방향의 확률이다. 즉 사건의 결과에서 애초의 표본 공간을 추정하는 작업이 된다. 따라서 사후 확률은 단독으로 확인할 수 없고 원인에 대한 가설과 결과 사이의 조건부 확률로 나타낼 수 밖에 없다. 베이즈 확률론의 확률 해석은 참값을 알지 못하는 가설을 검증하는 명제 논리의 확장으로 이해될 수 있다. 贝叶斯概率（英語：Bayesian probability）是由贝叶斯理论所提供的一种对概率的解释，它采用将概率定义为某人对一个命题信任的程度的概念。贝叶斯理论同时也建议贝叶斯定理可以用作根据新的信息导出或者更新现有的置信度的规则。ベイズ確率（ベイズかくりつ、英: Bayesian probability）とは、確率の概念を解釈したもので、ある現象の頻度や傾向の代わりに、確率を知識の状態を表す合理的な期待値、あるいは個人的な信念の定量化と解釈したものである。ベイズ確率の解釈は、命題論理を拡張したものであり、真偽が不明な命題を用いた推論を可能にするものと考えられる。ベイズの考え方では仮説に確率を付与するが、頻度論的な推論では確率を付与せずに仮説を検証するのが一般的である。ベイズ確率は証拠能力のある確率のカテゴリーに属する。仮説の確率を評価するために、ベイズ確率論者は事前確率を指定する。仮説の確率を評価するために、ベイズの確率論者は事前確率を指定し、新しい関連データ（証拠）に照らし合わせて事後確率に更新する。ベイジアン解釈では、この計算を行うための標準的な手順と式が用意されている。ベイジアンという言葉は、18世紀の数学者・神学者であるトーマス・ベイズに由来する。ベイズは、現在ベイズ推定として知られているものを用いて、統計的データ分析の自明でない問題を初めて数学的に扱った人物である。また、数学者のピエール＝シモン・ラプラスは、現在ではベイズ確率と呼ばれているものを開拓し、普及させた。 Probabilidade epistemológica ou probabilidade Bayesiana (relacionando-se ao matemático Thomas Bayes), é uma percepção em seres humanos que representa incertezas sobre proposições quando não se tem conhecimento completo das circunstâncias causativas. Tais proposições podem ser sobre eventos passados ou futuros. Alguns exemplos de probabilidade epistemiológica são designar uma probabilidade à proposição de que uma lei da Física proposta seja verdadeira, e determinar o quão "provável" é que um suspeito cometeu um crime, baseado nas provas apresentadas. Der nach dem englischen Mathematiker Thomas Bayes benannte bayessche Wahrscheinlichkeitsbegriff (engl. Bayesianism) interpretiert Wahrscheinlichkeit als Grad persönlicher Überzeugung (englisch degree of belief). Er unterscheidet sich damit von den objektivistischen Wahrscheinlichkeitsauffassungen wie dem frequentistischen Wahrscheinlichkeitsbegriff, der Wahrscheinlichkeit als relative Häufigkeit interpretiert.
dcterms:subject: dbc:Philosophy_of_mathematics dbc:Bayesian_statistics dbc:Justification_(epistemology) dbc:Probability_interpretations dbc:Philosophy_of_science
dbo:wikiPageID: 4890
dbo:wikiPageRevisionID: 1122105485
dbo:wikiPageWikiLink: dbr:Inverse_probability dbr:Open_Court_Publishing_Company dbr:Beta_distribution dbr:Dutch_book dbr:Frank_P._Ramsey dbr:Double_blind dbr:Falsifiability dbr:Celestial_mechanics dbr:Leonard_J._Savage dbr:Richard_Threlkeld_Cox dbr:Posterior_probability dbr:Reference_class_problem dbr:Proposition dbr:Prior_probability dbr:Propositional_logic dbr:Monty_Hall_problem dbr:Frequentist_inference dbr:Frequentist_probability dbr:QBism dbr:Bayes'_theorem dbr:Bernoulli_trial dbc:Philosophy_of_mathematics dbr:Bookmaker dbr:Bruno_de_Finetti dbr:Stanford_University_Press dbr:Truth_value dbr:Data dbr:Well-posed_problem dbr:Interpretation_of_quantum_mechanics dbr:Bertrand_paradox_(probability) dbr:Jurisprudence dbr:Pierre-Simon_Laplace dbr:Inductive_reasoning dbr:Frequentist_statistics dbr:Machine_learning dbc:Bayesian_statistics dbr:Admissible_decision_rule dbr:James_Berger_(statistician) dbr:Decision_theory dbr:Statistical_model dbr:Statistical_decision_theory dbr:John_von_Neumann dbr:Functional_equations dbr:Abraham_Wald dbr:Principle_of_insufficient_reason dbr:Theory_of_Games_and_Economic_Behavior dbr:Statistical_hypothesis_testing dbr:Propensity_probability dbr:Data_analysis dbr:Expected_utility dbr:Credal_network dbr:Odds dbr:Coherence_(philosophical_gambling_strategy) dbr:An_Essay_towards_solving_a_Problem_in_the_Doctrine_of_Chances dbr:Pragmatic_philosophy dbr:Reliability_(statistics) dbr:Harold_Jeffreys dbr:Thomas_Bayes dbr:Richard_Jeffrey dbr:Oskar_Morgenstern dbc:Justification_(epistemology) dbr:Leonard_Jimmie_Savage dbr:José-Miguel_Bernardo dbr:Uncertainty dbr:Markov_chain_Monte_Carlo dbr:Uncertainty_quantification dbr:Logic dbr:John_Maynard_Keynes dbr:Probability_kinematics dbc:Probability_interpretations dbr:Principle_of_bivalence dbr:Duke_University dbr:Agent-based_model dbr:Edwin_Thompson_Jaynes dbr:De_Finetti's_game dbr:Null_hypothesis dbr:Probability_interpretations dbr:Haar_measure dbr:University_of_Valencia dbr:Random_variable dbr:Ian_Hacking dbr:Charles_Sanders_Peirce dbr:Karl_Popper dbr:Principle_of_maximum_entropy dbr:De_Finetti's_theorem dbr:Probability dbr:Optimal_decision dbr:Cox's_theorem dbr:Johann_Pfanzagl dbr:Bayesian_epistemology dbr:Hypothesis dbr:Bayesian_inference dbc:Philosophy_of_science
dbo:wikiPageExternalLink: n7:HartmannSprenger_BayesEpis.pdf n10:small-diffs.htm n15:theorythatwouldn0000mcgr n21:HajekHartmann_BayesEpist.pdf n24:BayesRuleBookMain.html n33:ramsess.pdf n35:ramsess.pdf%7Carchive-date=2008-02-27 n36:item%3Fid=AIHP_1937__7_1_1_0 n15:essaysinmathemat0000shub n48:237 n52:prob.html
owl:sameAs: dbpedia-ca:Probabilitat_bayesiana dbpedia-sr:Бајесова_вероватноћа dbpedia-ar:احتمال_بيشان dbpedia-it:Probabilità_bayesiana dbpedia-de:Bayesscher_Wahrscheinlichkeitsbegriff yago-res:Bayesian_probability dbpedia-sh:Bayesova_vjerovatnoća wikidata:Q812534 dbpedia-hr:Bayesanizam dbpedia-pt:Probabilidade_epistemológica dbpedia-es:Probabilidad_bayesiana dbpedia-simple:Bayesian_probability freebase:m.01k0q dbpedia-et:Bayesiaanlus dbpedia-eu:Bayestar_probabilitate dbpedia-uk:Баєсова_ймовірність n37:4yhDa dbpedia-zh:貝氏機率 dbpedia-nl:Bayesiaanse_kans dbpedia-tr:Bayesci_olasılık dbpedia-he:הסתברות_בייסיאנית dbpedia-fa:احتمالات_بیزی dbpedia-ja:ベイズ確率 dbpedia-pl:Prawdopodobieństwo_subiektywne n46:Байес_пулаяслăхĕ dbpedia-nn:Bayes-analyse dbpedia-ru:Байесовская_вероятность dbpedia-ko:베이즈_확률론 dbpedia-th:ทฤษฎีความน่าจะเป็นแบบเบย์
dbp:wikiPageUsesTemplate: dbt:Broader dbt:Bayesian_statistics dbt:Reflist dbt:Rp dbt:Springer dbt:Portal dbt:Cols dbt:Cite_book dbt:Main dbt:Cite_web dbt:Cite_journal dbt:Short_description dbt:ISBN dbt:Colend
dbp:id: p/b015390
dbp:title: Bayesian approach to statistical problems
dbo:abstract: La probabilità bayesiana è un'interpretazione del concetto di probabilità, in cui, anziché la frequenza o la propensione di qualche fenomeno, la probabilità viene interpretata come aspettazione razionale rappresentante uno stato di conoscenza o come quantificazione di una convinzione personale. L'interpretazione bayesiana della probabilità può essere vista come coestensiva della logica proposizionale con l'inclusione del ragionamento tramite ipotesi, vale a dire, con proposizioni la cui verità o falsità è sconosciuta. Nella visione bayesiana, una probabilità viene assegnata a un'ipotesi, mentre nell'approccio frequentista alle inferenze, un'ipotesi viene tipicamente verificata senza che venga ad essa assegnata una probabilità. La probabilità bayesiana appartiene alla categoria delle "probabilità probatorie": per valutare la probabilità di un'ipotesi, infatti, il probabilista bayesiano deve specificare una probabilità iniziale (probabilità a priori o prior probability). Questa, a sua volta, viene poi aggiornata ad una probabilità finale alla luce di nuovi dati pertinenti (prove o evidenze). L'interpretazione bayesiana inoltre fornisce un insieme standard di procedure e formule per eseguire questo calcolo. Il termine bayesiano deriva dal matematico e teologo del XVIII secolo Thomas Bayes, che fornì la prima trattazione formale di un problema non banale riguardante l'analisi dei dati usando quella che è ora nota come inferenza bayesiana. Il matematico e fisico francese Pierre-Simon Laplace (1749 - 1827) fu un pioniere nel rendere popolare quella che oggi è chiamata probabilità bayesiana. Het Bayesiaanse kansbegrip is een interpretatie van kans als redelijke verwachting die, in de objectivistische visie, de staat van kennis vertegenwoordigt, of die, in de subjectivistische visie, als kwantificering van een persoonlijke overtuiging van een bepaald verschijnsel wordt geïnterpreteerd. Beide visies staan tegenover de klassieke kansinterpretatie en de frequentistische opvatting. De Bayesiaanse interpretatie van kans kan gezien worden als een uitbreiding van de propositielogica die redeneringen met hypothesen mogelijk maakt met uitspraken waarvan de waarheid onzeker is. In de Bayesiaanse visie wordt een kans toegewezen aan een hypothese, terwijl in de frequentistische opvatting een hypothese meestal alleen getoetst wordt zonder daaraan een kans te verbinden. Bayesiaanse kansen behoren tot de categorie van bewijsbare kansen, in de zin dat de kans van een hypothese geëvalueerd wordt in het licht van nieuw verkregen kennis. Daartoe specificeert de Bayesiaan vooraf een zogenaamde a-priori-kans, die vervolgens wordt bijgesteld tot een a-posteriori-kans in het licht van nieuwe, relevante gegevens. De Bayesiaanse kansrekening biedt een standaardmethode en formules om deze berekening uit te voeren. De term Bayesiaans is afgeleid van het theorema van Bayes, dat als grondslag dient voor de berekening van de a-posteriori-kans. Deze stelling is weer genoemd naar de 18e-eeuwse wiskundige en theoloog Thomas Bayes, die de eerste wiskundige behandeling van een niet-triviaal probleem van statistische data-analyse, nu bekend als Bayesiaanse statistiek. De wiskundige Pierre-Simon Laplace pionierde met wat nu de Bayesiaanse kans wordt genoemd en populariseerde het. De objectivistische visie wordt gerechtvaardigd door de . De subjectivistische visie wordt gerechtvaardigd door eisen van rationaliteit en samenhang volgens het zogenaamde -argument of uit de beslissingstheorie en de . El anomenat Concepte de Probabilitat Bayesià (angl. Bayesianism) del matemàtic anglès Thomas Bayes, interpreta la probabilitat com a grau de convicció personal (anglès: 'degree of belief'). Així, es diferencia de la percepció de probabilitat objectivista, com del concepte de probabilitat freqüentista , que interpreta probabilitat com freqüència relativa. El concepte de probabilitat bayesià no s'ha de confondre amb el Teorema d'En Bayes, d'ell mateix, que té nombroses aplicacions en estadística. Der nach dem englischen Mathematiker Thomas Bayes benannte bayessche Wahrscheinlichkeitsbegriff (engl. Bayesianism) interpretiert Wahrscheinlichkeit als Grad persönlicher Überzeugung (englisch degree of belief). Er unterscheidet sich damit von den objektivistischen Wahrscheinlichkeitsauffassungen wie dem frequentistischen Wahrscheinlichkeitsbegriff, der Wahrscheinlichkeit als relative Häufigkeit interpretiert. Der bayessche Wahrscheinlichkeitsbegriff darf nicht mit dem gleichfalls auf Thomas Bayes zurückgehenden Satz von Bayes verwechselt werden, welcher in der Statistik reiche Anwendung findet. Probabilitate bayesiarra probabilitate kontzeptuaren interpretazio bat da, non, fenomeno baten maiztasun edo joera izan ordez, probabilitatea arrazoizko itxaropen gisa interpretatzen da, ezagutza-egoera bat irudikatuz edo sineste pertsonal bat kuantifikatuz. Probabilitatearen interpretazio bayesiarra hipotesi bidezko arrazoibidea ahalbidetzen duen logika propositiboaren luzapen gisa ikus daiteke; hau da, egia edo faltsukeria ezezaguna duten proposizioekin. Ikuspegi bayesiarrean, probabilitate bat hipotesi bati esleitzen zaio; maiztasunaren inferentzian, aldiz, hipotesi bat probabilitaterik esleitu gabe egiaztatu ohi da. Probabilitate bayesiarra probabilitate probatorioen kategoriakoa da; hipotesi baten probabilitatea ebaluatzeko, probabilista bayesiarrak aurretiko probabilitate bat zehazten du. Hori, era berean, datu garrantzitsu berriak (probak) ikusi ondoren eguneratzen da. Baiezko interpretazioak kalkulu hori egiteko prozeduren eta formulen multzo estandarra ematen du. Bayes terminoa Thomas Bayes XVIII. mendeko matematikari eta teologotik dator. Hark eman zuen datu estatistikoak aztertzeko bitarikoa ez den problema baten lehen tratamendu matematikoa, orain inferentzia bayesiarra deritzona erabiliz. Ба́єсова ймові́рність (англ. Bayesian probability) — це одна з інтерпретацій поняття ймовірності. На протилежність до інтерпретування ймовірності як «частоти» або певного явища, баєсова ймовірність є величиною, що ми визначаємо з метою представлення стану знання або переконання. З баєсової точки зору ймовірність призначається гіпотезі, тоді як згідно з частотницькою точкою зору гіпотеза зазвичай перевіряється, не маючи призначеної ймовірності. Баєсову інтерпретацію ймовірності можна розглядати як розширення логіки висловлень, що уможливлює міркування із гіпотезами, тобто судженнями, чиї істинність або хибність є невизначеними. Баєсова ймовірність належить до категорії доказових імовірностей; для обчислення ймовірності гіпотези фахівець із баєсової статистики встановлює певну апріорну ймовірність, що потім уточнюється у світлі нових, доречних даних (свідчень). Баєсова інтерпретація забезпечує стандартний набір процедур та формул для виконання цього обчислення. Термін «баєсова» походить від математика та теолога XVIII сторіччя Томаса Баєса, що запропонував перший математичний підхід до нетривіальної задачі баєсового висновування. Математик П'єр-Симон Лаплас започаткував та популяризував те, що тепер називається баєсовою ймовірністю. Загалом кажучи, існує два погляди на баєсову ймовірність, що інтерпретують поняття ймовірність різним чином. Згідно з об'єктивістським підходом, правила баєсової статистики може бути підтверджено , та інтерпретовано як розширення логіки. Згідно з суб'єктивістським підходом, ймовірність визначає «особисте переконання». ベイズ確率（ベイズかくりつ、英: Bayesian probability）とは、確率の概念を解釈したもので、ある現象の頻度や傾向の代わりに、確率を知識の状態を表す合理的な期待値、あるいは個人的な信念の定量化と解釈したものである。ベイズ確率の解釈は、命題論理を拡張したものであり、真偽が不明な命題を用いた推論を可能にするものと考えられる。ベイズの考え方では仮説に確率を付与するが、頻度論的な推論では確率を付与せずに仮説を検証するのが一般的である。ベイズ確率は証拠能力のある確率のカテゴリーに属する。仮説の確率を評価するために、ベイズ確率論者は事前確率を指定する。仮説の確率を評価するために、ベイズの確率論者は事前確率を指定し、新しい関連データ（証拠）に照らし合わせて事後確率に更新する。ベイジアン解釈では、この計算を行うための標準的な手順と式が用意されている。ベイジアンという言葉は、18世紀の数学者・神学者であるトーマス・ベイズに由来する。ベイズは、現在ベイズ推定として知られているものを用いて、統計的データ分析の自明でない問題を初めて数学的に扱った人物である。また、数学者のピエール＝シモン・ラプラスは、現在ではベイズ確率と呼ばれているものを開拓し、普及させた。 베이즈 확률론은 베이즈 정리를 바탕으로 한 에 기반한 확률론이다. 베이즈 확률론은 확률을 일어날 수 있는 모든 경우의 수를 알고 있는 상태에서 특정한 조건의 사건이 일어날 경우의 빈도를 계산하는 고전적인 확률의 정의와 달리 어떠한 사건이 일어날 것이라는 합리적 기대의 척도로 해석한다. 이에 따라 베이즈 확률론이 다루는 확률은 어떠한 지식에 대한 신뢰나 논리적 추론의 결과로 해석된다. 베이즈 확률론은 어떤 사건이 일어날 확률을 구하기 위해 선험적인 가설로 설정된 사전 확률을 일정한 데이터를 통해 보완한 사후 확률로서 보정한다. 사전 확률은 아직 검증되지 않은 주관적 믿음이지만 이후 보정을 거쳐 되먹임 되기 때문에 점차 정확도가 향상된다. 한편 사후 확률은 일어난 사건의 결과를 놓고 그 결과가 나오게 된 원인을 생각하는 역방향의 확률이다. 즉 사건의 결과에서 애초의 표본 공간을 추정하는 작업이 된다. 따라서 사후 확률은 단독으로 확인할 수 없고 원인에 대한 가설과 결과 사이의 조건부 확률로 나타낼 수 밖에 없다. 베이즈 확률론의 확률 해석은 참값을 알지 못하는 가설을 검증하는 명제 논리의 확장으로 이해될 수 있다. 확률의 해석에는 도수 확률과 같이 시행을 통해 사건의 빈도를 측정하는 객관주의 해석과 베이즈 확률론과 같이 선험적 확률을 먼저 설정하는 주관주의 해석이 있다. 베이즈 확률론은 주관주의 확률 해석의 표준으로 자리잡았다. 베이즈 확률론이라는 이름은 18세기 개신교 목사이자 수학자였던 토머스 베이즈에서 온 것이다.:131 토머스 베이즈는 과거에 사건이 일어난 횟수 또는 일어나지 않은 횟수 만을 근거로 미래의 불확실한 사건의 확률을 알고자 하였다. 탁자 위에 구르는 공의 위치를 추정하는 사고 실험을 통해 처음에는 공의 위치를 알 지 못하여도 시행 착오를 통해 점차 정확한 위치를 추정할 수 있음을 보였다.:26-27 베이즈는 자신의 이러한 추론을 훗날 포기하였으나 훗날 라플라스가 독자적으로 재발견하였다.:97–98 Байесовская вероятность — это интерпретация понятия вероятности, используемая в байесовской теории. Вероятность определяется как степень уверенности в истинности суждения. Для определения степени уверенности в истинности суждения при получении новой информации в байесовской теории используется теорема Байеса. احتمال بايز أو أرجحية النظريّة الافتراضية (بالإنجليزية: Bayesian probability)‏ هو تفسير مفهوم الاحتمال على أنه توقعات ممكنة لظاهرة ما حيث تمثل هذه التوقعات حالة من المعرفة أو مقياس لاعتقاد شخصي، بدلا من استخدام مفهوم الاحتمال التكراري. يمكن اعتبار تفسير احتمال بايز على أنه امتداد لمنطق المقترحات، والذي يمكننا من الوصول للاستنتاج بناء على الفرضيات. حيث أنه سواء كان المقترح خاطئا أو صحيحا فإنه يبقى غير مؤكد. من منظور احتمال بايز فإن الفرضيات مرتبطة باحتمال، لكن من منظور الاحتمال التكراري فإن الفرضيات عادة ما يتم اختبارها بدون ربطها بأي احتمال. احتمال بايز ينتمي إلى فئة الاحتمالات الاستدلالية والتي يتم تقييم الاحتماليات للفرضيات تحت الدراسة. في احتمال بايزين يتم تحديد بعض الاحتمالات المسبقة، والتي يتم تحديثها لاحقا لتصبح احتمالات لاحقة على ضوء البيانات الجديدة (الأدلة). يوفر تفسير بايز مجموعة قياسية من الإجراءات والصيغ لإجراء هذه الحسابات. مصطلح Bayesian مستمد من عالم الرياضيات واللاهوتي توماس بايز في القرن الثامن عشر، الذي قدم أول حل رياضي لمشكلة معقدة في استدلال بايز. عالم الرياضيات بيير سيمون لابلاس يعتبر هو الرائد لما يسمى الآن باحتمال بايز. بشكل عام، هناك رأيان في احتمال بايز والذي يمكن أن يفسر بطرق مختلفة مفهوم الاحتمال. فوفقا للرأي الموضوعي، فإن الاحتمال هو التوقع المعقول الذي يمثل حالة المعرفة، ويمكن تفسيره على أنه امتداد للمنطق حيث يمكن تبرير قواعده من خلال نظرية كوكس. ووفقا للرأي الشخصي، فإن الاحتمال يقيس الاعتقاد الشخصي، ويمكن تبرير قواعده بالمتطلبات العقلانية والاتساق الواردة في الكتاب الهولندي أو من نظرية القرار ونظرية de Finetti's. Bayesian probability is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief. The Bayesian interpretation of probability can be seen as an extension of propositional logic that enables reasoning with hypotheses; that is, with propositions whose truth or falsity is unknown. In the Bayesian view, a probability is assigned to a hypothesis, whereas under frequentist inference, a hypothesis is typically tested without being assigned a probability. Bayesian probability belongs to the category of evidential probabilities; to evaluate the probability of a hypothesis, the Bayesian probabilist specifies a prior probability. This, in turn, is then updated to a posterior probability in the light of new, relevant data (evidence). The Bayesian interpretation provides a standard set of procedures and formulae to perform this calculation. The term Bayesian derives from the 18th-century mathematician and theologian Thomas Bayes, who provided the first mathematical treatment of a non-trivial problem of statistical data analysis using what is now known as Bayesian inference. Mathematician Pierre-Simon Laplace pioneered and popularized what is now called Bayesian probability. La probabilidad bayesiana es una de las diferentes interpretaciones del concepto de probabilidad. La interpretación bayesiana de la probabilidad puede ser vista como una extensión de la lógica proposicional que permite razonar con hipótesis, es decir, las proposiciones cuya veracidad o falsedad son inciertas. La probabilidad bayesiana pertenece a la categoría de las probabilidades probatorias; para evaluar la probabilidad de una hipótesis, la probabilista bayesiana especifica alguna probabilidad a priori, que se actualiza a continuación, a la luz de nuevos y relevantes datos (en pruebas). La interpretación bayesiana proporciona un conjunto estándar de los procedimientos y las fórmulas para realizar este cálculo. En contraste con la interpretación de la probabilidad como la "frecuencia" o "propensión" de algún fenómeno, la probabilidad bayesiana es una cantidad que se asigna para el propósito de representar un estado de conocimiento, o un estado de creencia. En la vista bayesiana, una probabilidad se asigna a una hipótesis, mientras que bajo el punto de vista frecuentista, una hipótesis es típicamente probada sin ser asignada una probabilidad. El término "bayesiano" se refiere al matemático del siglo XVIII y teólogo Thomas Bayes, que proporcionó el primer tratamiento matemático de un problema no trivial de la inferencia bayesiana. El matemático Pierre-Simon Laplace fue pionero y popularizó lo que ahora se llama probabilidad bayesiana. En términos generales, hay dos puntos de vista sobre la probabilidad bayesiana que interpretan el concepto de probabilidad de diferentes maneras. Según el punto de vista objetivista, las reglas de la estadística bayesiana pueden justificarse por exigencias de la racionalidad y la coherencia, y la interpretan como una extensión de la lógica. Según la visión subjetivista, cuantifica la probabilidad de una "opinión personal". Muchos métodos modernos de aprendizaje automático se basan en los principios bayesianos objetivistas. Prawdopodobieństwo subiektywne – interpretacja prawdopodobieństwa, według której prawdopodobieństwo nie musi być wielkością obiektywną, lecz może być określone na podstawie subiektywnej opinii osoby, zależnie od dostępnych jej aktualnie danych. Przy tej interpretacji można stosować metody rachunku prawdopodobieństwa praktycznie do wszystkiego – stwierdzania czy dany e-mail jest spamem, wyliczania szans na to, która drużyna zwycięży mecz, jaki jest poziom znajomości angielskiego kogoś, kto napisał test z danym wynikiem, czy też która z teorii na dany temat jest prawdziwa. 贝叶斯概率（英語：Bayesian probability）是由贝叶斯理论所提供的一种对概率的解释，它采用将概率定义为某人对一个命题信任的程度的概念。贝叶斯理论同时也建议贝叶斯定理可以用作根据新的信息导出或者更新现有的置信度的规则。 Probabilidade epistemológica ou probabilidade Bayesiana (relacionando-se ao matemático Thomas Bayes), é uma percepção em seres humanos que representa incertezas sobre proposições quando não se tem conhecimento completo das circunstâncias causativas. Tais proposições podem ser sobre eventos passados ou futuros. Alguns exemplos de probabilidade epistemiológica são designar uma probabilidade à proposição de que uma lei da Física proposta seja verdadeira, e determinar o quão "provável" é que um suspeito cometeu um crime, baseado nas provas apresentadas.
gold:hypernym: dbr:Interpretation
prov:wasDerivedFrom: wikipedia-en:Bayesian_probability?oldid=1122105485&ns=0
dbo:wikiPageLength: 32739
foaf:isPrimaryTopicOf: wikipedia-en:Bayesian_probability

Subject Item: dbr:Bayesian_programming
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_statistics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_tool_for_methylation_analysis
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Endemoconus
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:List_of_eponymous_adjectives_in_English
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Naive_Bayes_classifier
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Memecylon
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Online_aggregation
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Subjectivism
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Wigner's_friend
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayes'_theorem
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_estimation_of_templates_in_computational_anatomy
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_interpretation_of_kernel_regularization
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_network
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bertrand_paradox_(probability)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bounded_rationality
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:David_Spiegelhalter
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Arbitrage
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Archaeo-optics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:John_P._Craven
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Paul_Draper_(philosopher)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Richard_Carrier
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Richard_James_Boys
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Ridge_regression
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Cultural_consensus_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:David_Bakan
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:David_Corfield
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:David_Wolpert
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Decision_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Design_of_experiments
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Development_of_doctrine
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Dutch_book
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Index_of_philosophy_articles_(A–C)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Index_of_philosophy_of_science_articles
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Information_field_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Intelligent_control
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:International_Journal_of_Uncertainty,_Fuzziness_and_Knowledge-Based_Systems
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Intuitive_statistics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Inverse_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:List_of_probability_topics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Null_distribution
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Predictive_probability_of_success
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Proof_by_example
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Psychology_of_reasoning
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Reference_class_problem
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:String_diagram
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:18th_century
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Conditional_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Confirmation_bias
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Copenhagen_interpretation
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Ancestral_sequence_reconstruction
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Ellsberg_paradox
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Estimation_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:General_linear_model
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Generalized_linear_model
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Quantum_Bayesianism
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Quantum_cognition
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Search_for_the_Higgs_boson
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Clark_Glymour
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Coherentism
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Edwin_Thompson_Jaynes
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbp:knownFor: dbr:Bayesian_probability
dbo:knownFor: dbr:Bayesian_probability

Subject Item: dbr:Frank_Ramsey_(mathematician)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Gene_Ontology_Term_Enrichment
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Gliese_676
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Glossary_of_artificial_intelligence
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Motivated_reasoning
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Conjoint_analysis
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Conjugate_prior
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Consensus_clustering
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Continuous_Individualized_Risk_Index
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Control_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Credal_set
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:The_Moon_is_made_of_green_cheese
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Thomas_Bayes
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Equiprobability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Statistical_inference
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Statistics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Common_cause_and_special_cause_(statistics)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Computational_learning_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Dempster–Shafer_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Empirical_Bayes_method
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Fully_probabilistic_design
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Henry_E._Kyburg_Jr.
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Horvitz–Thompson_estimator
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Office_Assistant
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Roko's_basilisk
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Probability_of_success
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:String_theory_landscape
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Subjective
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Medical_test
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:V-12_Navy_College_Training_Program
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Admissible_decision_rule
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Centrum_(multivitamin)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Timeline_of_scientific_discoveries
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Truth_value
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:William_I._F._David
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Doxastic_attitudes
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Dragon_king_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:James_Franklin_(philosopher)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Jürgen_Kriz
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Landscape_genetics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Least-squares_support_vector_machine
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Llangeinor
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Sunrise_problem
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Yule–Simon_distribution
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Propensity_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Nils_Lid_Hjort
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:ADMB
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:2006_BCS_computer_rankings
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:2007_BCS_computer_rankings
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:2009_Supervisory_Capital_Assessment_Program
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Aggregated_indices_randomization_method
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Alex_Szalay
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Analytic_theology
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Edi_Karni
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Faith
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Fine-tuned_universe
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Base_rate_fallacy
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Oscar_Kempthorne
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Parameter
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Checking_whether_a_coin_is_fair
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bayes
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageDisambiguates: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_classifier
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Diagnosis
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Forensic_epidemiology
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Founders_of_statistics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Global_Consciousness_Project
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Global_Infectious_Disease_Epidemiology_Network
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Grammar_of_Assent
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:History_of_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:History_of_scientific_method
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:History_of_statistics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Kolmogorov_complexity
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Two_envelopes_problem
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Mathematical_proof
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Prior_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:HD_10180
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Harold_Jeffreys
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Hierarchical_Dirichlet_process
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:History_of_Bayesian_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Interpretations_of_quantum_mechanics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bag-of-words_model
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Teleological_argument
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Cox's_theorem
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:The_Big_Cartoon_DataBase
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:The_Big_Picture_(Carroll_book)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Hyperbolic_discounting
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Jeffreys_prior
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Arnold_Zellner
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Artificial_neural_network
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Advanced_process_control
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Charles_Sanders_Peirce
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Kenneth_Massey
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Biclustering
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Binary_decision_diagram
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Biological_network_inference
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Support_vector_machine
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Coherence_(philosophical_gambling_strategy)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Hepatitis_C_virus
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:The_Order_of_Time_(book)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Bootstrapping_(statistics)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Philip_Woodward
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Philosophy_of_religion
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Pierre-Simon_Laplace
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbp:knownFor: dbr:Bayesian_probability
dbo:knownFor: dbr:Bayesian_probability

Subject Item: dbr:Positron_emission_tomography
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Solomonoff's_theory_of_inductive_inference
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Spy_Cave
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Classical_definition_of_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Frequency_(statistics)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Frequentist_inference
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Frequentist_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Human_extinction
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Metaprobability
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Ice_core
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Inductive_reasoning
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Info-gap_decision_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Michael_R._Powers
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Ornithoscelida
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Case_study
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Catalog_of_articles_in_probability_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Catholic_probabilism
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Real-time_marketing
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Principle_of_indifference
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Loss_function
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Maximum_entropy_thermodynamics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Principle_of_maximum_entropy
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Subjective_expected_utility
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Paola_Sebastiani
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Scale-invariant_feature_transform
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Sleeping_Beauty_problem
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Uncertainty_quantification
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Value_at_risk
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Necktie_paradox
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Stochastic_control
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Expected_utility_hypothesis
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Expected_value_of_including_uncertainty
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Expert_elicitation
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Extrapolation_domain_analysis
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:IPCC_Third_Assessment_Report
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Imprecise_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:List_of_statistics_articles
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:List_of_things_named_after_Thomas_Bayes
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:List_of_unsolved_problems_in_statistics
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Probabilistic_logic
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Existence_of_God
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Uniqueness_thesis_(epistemology)
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Process_tracing
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Multiple_treatments
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Probability_interpretations
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Philosophy_of_science
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Self-Indication_Assumption_Doomsday_argument_rebuttal
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Statistical_potential
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Patrocladogram
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Optimality_criterion
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Original_position
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Outline_of_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Outline_of_scientific_method
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Technique_for_human_error-rate_prediction
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Transmission_electron_cryomicroscopy
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:Spinocerebellar_ataxia_type_1
dbo:wikiPageWikiLink: dbr:Bayesian_probability

Subject Item: dbr:PersonalProbability
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Personal_Probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Personal_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_credibility
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_logic
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_probability_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_reasoning
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Bayesian_theory
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Bayesianism
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Baysian
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Baysian_Statistics
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Baysian_statistics
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Degree_of_belief
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Objective_Bayesian_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Subjective_bayesian_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Subjective_belief
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Subjective_probabilities
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: dbr:Subjective_probability
dbo:wikiPageWikiLink: dbr:Bayesian_probability
dbo:wikiPageRedirects: dbr:Bayesian_probability

Subject Item: wikipedia-en:Bayesian_probability
foaf:primaryTopic: dbr:Bayesian_probability