Matches in SemOpenAlex for { <https://semopenalex.org/work/W3203352152> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W3203352152 endingPage "483" @default.
- W3203352152 startingPage "401" @default.
- W3203352152 abstract "This chapter develops sequential Bayesian detection techniques primarily aimed at the binary decision problem. It enables the extension of these estimation methods to an entire class of problems especially when a physical model is available that can be incorporated into the algorithm leading to model-based detection. The chapter develops the Bayesian approach to decision theory primarily aimed at a coupling of sequential Bayesian estimation to sequential decision-making. It discusses the basic theory required to comprehend the receiver operating characteristic (ROC) and its inherent features that enable us to ascertain the performance of detection algorithms. The chapter develops the theory and from it develops a variety of metrics that can be extracted from the ROC to increase understanding of the embedded information. It applies the analysis to examples and uses the ROC to compare performance of a variety of detection techniques. Finally, a case study followed showing the applicability of the model-based designs to anomaly detection." @default.
- W3203352152 created "2021-10-11" @default.
- W3203352152 creator A5041231081 @default.
- W3203352152 date "2016-07-22" @default.
- W3203352152 modified "2023-10-16" @default.
- W3203352152 title "Sequential Bayesian Detection" @default.
- W3203352152 cites W1567669715 @default.
- W3203352152 cites W1624358519 @default.
- W3203352152 cites W1983913844 @default.
- W3203352152 cites W2001162634 @default.
- W3203352152 cites W2002844873 @default.
- W3203352152 cites W2059141758 @default.
- W3203352152 cites W2124489055 @default.
- W3203352152 cites W2126736494 @default.
- W3203352152 cites W2136764322 @default.
- W3203352152 cites W2144579212 @default.
- W3203352152 cites W2149048172 @default.
- W3203352152 cites W2155653793 @default.
- W3203352152 cites W2158698691 @default.
- W3203352152 cites W2164755285 @default.
- W3203352152 cites W2167442255 @default.
- W3203352152 cites W2322427245 @default.
- W3203352152 cites W2484866470 @default.
- W3203352152 cites W4212863985 @default.
- W3203352152 cites W4245898579 @default.
- W3203352152 cites W4252119169 @default.
- W3203352152 cites W4255133955 @default.
- W3203352152 doi "https://doi.org/10.1002/9781119125495.ch10" @default.
- W3203352152 hasPublicationYear "2016" @default.
- W3203352152 type Work @default.
- W3203352152 sameAs 3203352152 @default.
- W3203352152 citedByCount "0" @default.
- W3203352152 crossrefType "other" @default.
- W3203352152 hasAuthorship W3203352152A5041231081 @default.
- W3203352152 hasConcept C107673813 @default.
- W3203352152 hasConcept C119857082 @default.
- W3203352152 hasConcept C124101348 @default.
- W3203352152 hasConcept C136197465 @default.
- W3203352152 hasConcept C154945302 @default.
- W3203352152 hasConcept C199360897 @default.
- W3203352152 hasConcept C2778029271 @default.
- W3203352152 hasConcept C33923547 @default.
- W3203352152 hasConcept C41008148 @default.
- W3203352152 hasConcept C48372109 @default.
- W3203352152 hasConcept C68022304 @default.
- W3203352152 hasConcept C739882 @default.
- W3203352152 hasConcept C94375191 @default.
- W3203352152 hasConceptScore W3203352152C107673813 @default.
- W3203352152 hasConceptScore W3203352152C119857082 @default.
- W3203352152 hasConceptScore W3203352152C124101348 @default.
- W3203352152 hasConceptScore W3203352152C136197465 @default.
- W3203352152 hasConceptScore W3203352152C154945302 @default.
- W3203352152 hasConceptScore W3203352152C199360897 @default.
- W3203352152 hasConceptScore W3203352152C2778029271 @default.
- W3203352152 hasConceptScore W3203352152C33923547 @default.
- W3203352152 hasConceptScore W3203352152C41008148 @default.
- W3203352152 hasConceptScore W3203352152C48372109 @default.
- W3203352152 hasConceptScore W3203352152C68022304 @default.
- W3203352152 hasConceptScore W3203352152C739882 @default.
- W3203352152 hasConceptScore W3203352152C94375191 @default.
- W3203352152 hasLocation W32033521521 @default.
- W3203352152 hasOpenAccess W3203352152 @default.
- W3203352152 hasPrimaryLocation W32033521521 @default.
- W3203352152 hasRelatedWork W2352495365 @default.
- W3203352152 hasRelatedWork W2961085424 @default.
- W3203352152 hasRelatedWork W3046775127 @default.
- W3203352152 hasRelatedWork W3170094116 @default.
- W3203352152 hasRelatedWork W4205958290 @default.
- W3203352152 hasRelatedWork W4285260836 @default.
- W3203352152 hasRelatedWork W4286629047 @default.
- W3203352152 hasRelatedWork W4306321456 @default.
- W3203352152 hasRelatedWork W4306674287 @default.
- W3203352152 hasRelatedWork W4224009465 @default.
- W3203352152 isParatext "false" @default.
- W3203352152 isRetracted "false" @default.
- W3203352152 magId "3203352152" @default.
- W3203352152 workType "other" @default.