An Entity of Type: LanguageUnit106284225, from Named Graph: http://dbpedia.org, within Data Space: dbpedia.org:8891

In probability theory, for a probability measure P on a Hilbert space H with inner product , the covariance of P is the bilinear form Cov: H × H → R given by for all x and y in H. The covariance operator C is then defined by (from the Riesz representation theorem, such operator exists if Cov is bounded). Since Cov is symmetric in its arguments, the covariance operator isself-adjoint. When P is a centred Gaussian measure, C is also a nuclear operator. In particular, it is a compact operator of trace class, that is, it has finite trace. * v * t * e

Property Value
dbo:abstract
  • Der Kovarianzoperator bezeichnet in der Stochastik einen linearen Operator, der den Begriff der Kovarianz auf unendlich-dimensionale Räume erweitert. Der Begriff wird in der Theorie der und der stochastischen Analysis auf Banach- und Hilberträumen verwendet. (de)
  • In probability theory, for a probability measure P on a Hilbert space H with inner product , the covariance of P is the bilinear form Cov: H × H → R given by for all x and y in H. The covariance operator C is then defined by (from the Riesz representation theorem, such operator exists if Cov is bounded). Since Cov is symmetric in its arguments, the covariance operator isself-adjoint. When P is a centred Gaussian measure, C is also a nuclear operator. In particular, it is a compact operator of trace class, that is, it has finite trace. Even more generally, for a probability measure P on a Banach space B, the covariance of P is the bilinear form on the algebraic dual B#, defined by where is now the value of the linear functional x on the element z. Quite similarly, the covariance function of a function-valued random element (in special cases is called random process or random field) z is where z(x) is now the value of the function z at the point x, i.e., the value of the linear functional evaluated at z. * v * t * e (en)
dbo:wikiPageID
  • 33447667 (xsd:integer)
dbo:wikiPageLength
  • 2022 (xsd:nonNegativeInteger)
dbo:wikiPageRevisionID
  • 1095682517 (xsd:integer)
dbo:wikiPageWikiLink
dbp:wikiPageUsesTemplate
dcterms:subject
rdf:type
rdfs:comment
  • Der Kovarianzoperator bezeichnet in der Stochastik einen linearen Operator, der den Begriff der Kovarianz auf unendlich-dimensionale Räume erweitert. Der Begriff wird in der Theorie der und der stochastischen Analysis auf Banach- und Hilberträumen verwendet. (de)
  • In probability theory, for a probability measure P on a Hilbert space H with inner product , the covariance of P is the bilinear form Cov: H × H → R given by for all x and y in H. The covariance operator C is then defined by (from the Riesz representation theorem, such operator exists if Cov is bounded). Since Cov is symmetric in its arguments, the covariance operator isself-adjoint. When P is a centred Gaussian measure, C is also a nuclear operator. In particular, it is a compact operator of trace class, that is, it has finite trace. * v * t * e (en)
rdfs:label
  • Kovarianzoperator (de)
  • Covariance operator (en)
owl:sameAs
prov:wasDerivedFrom
foaf:isPrimaryTopicOf
is dbo:wikiPageWikiLink of
is foaf:primaryTopic of
Powered by OpenLink Virtuoso    This material is Open Knowledge     W3C Semantic Web Technology     This material is Open Knowledge    Valid XHTML + RDFa
This content was extracted from Wikipedia and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License