About: Rina Foygel Barber

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Rina Foygel Barber (known until 2012 as Rina Foygel) is an American statistician whose research includes works on the Bayesian statistics of graphical models, false discovery rates, and regularization. She is the Louis Block Professor of statistics at the University of Chicago.

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rdf:type	Thing foaf:Person person dul:NaturalPerson Eukaryote Person Human Animal animal eukaryote scientist species schema:Person Scientist
rdfs:label	Rina Foygel Barber (en)
rdfs:comment	Rina Foygel Barber (known until 2012 as Rina Foygel) is an American statistician whose research includes works on the Bayesian statistics of graphical models, false discovery rates, and regularization. She is the Louis Block Professor of statistics at the University of Chicago. (en)
foaf:name	Rina Foygel Barber (en)
name	Rina Foygel Barber (en)
dct:subject	Living people Year of birth missing (living people) American statisticians Sloan Research Fellows University of Chicago alumni University of Chicago faculty Park School of Baltimore alumni Women statisticians
Wikipage page ID	61748936 (xsd:integer)
Wikipage revision ID	1111003884 (xsd:integer)
Link from a Wikipage to another Wikipage	Bayesian statistics University of Chicago Institute of Mathematical Statistics Living people Year of birth missing (living people) Emmanuel Candès Sloan Research Fellowship Stanford University American statisticians Sloan Research Fellows University of Chicago alumni University of Chicago faculty Park School of Baltimore alumni Women statisticians Park School of Baltimore False discovery rate Graphical model Regularization (mathematics)
Link from a Wikipage to an external page	http://www.stat.uchicago.edu/~rina/
sameAs	Rina Foygel Barber Rina Foygel Barber
thesis title	Prediction and model selection for high-dimensional data with sparse or low-rank structure (en)
thesis year	2012 (xsd:integer)
workplaces	University of Chicago
dbp:wikiPageUsesTemplate	dbt:Authority_control dbt:R dbt:Reflist dbt:Short_description dbt:Infobox_scientist dbt:Google_Scholar_id
alma mater	University of Chicago
fields	Statistics (en)
has abstract	Rina Foygel Barber (known until 2012 as Rina Foygel) is an American statistician whose research includes works on the Bayesian statistics of graphical models, false discovery rates, and regularization. She is the Louis Block Professor of statistics at the University of Chicago. Barber taught mathematics at the Park School of Baltimore from 2005 to 2007. She completed her Ph.D. at the University of Chicago in 2012. Her dissertation, Prediction and model selection for high-dimensional data with sparse or low-rank structure, was jointly supervised by Mathias Drton and Nathan Srebro. After postdoctoral research at Stanford University with Emmanuel Candès, she returned to the University of Chicago as a faculty member. She won a Sloan Research Fellowship in 2016. In 2017 the Institute of Mathematical Statistics gave her their Tweedie New Researcher Award "for groundbreaking contributions in high-dimensional statistics, including the identifiability of graphical models, low-rank matrix estimation, and false discovery rate theory ... [and] development of the knockoff filter for controlled variable selection". (en)
institution	University of Chicago
prov:wasDerivedFrom	wikipedia-en:Rina_Foygel_Barber?oldid=1111003884&ns=0
page length (characters) of wiki page	4217 (xsd:nonNegativeInteger)
alma mater	University of Chicago
foaf:isPrimaryTopicOf	wikipedia-en:Rina_Foygel_Barber
is Link from a Wikipage to another Wikipage of	List of people by Erdős number Barber (surname) Rina (given name) COPSS Presidents' Award List of statisticians List of women in statistics Rina Barber Rina Foygel
is Wikipage redirect of	Rina Barber Rina Foygel
is foaf:primaryTopic of	wikipedia-en:Rina_Foygel_Barber

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