Current Trends in Bayesian Methodology with Applications
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| Title: | Current Trends in Bayesian Methodology with Applications |
|---|---|
| Description: | Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics, image analysis, shape analysis, Bayesian computation, clustering, uncertainty assessment, high-energy astrophysics, neural networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics. Each chapter is self-contained and focuses on a Bayesian methodology. It gives an overview of the area, presents theoretical insights, and emphasizes applications through motivating examples. This book reflects the diversity of Bayesian analysis, from novel Bayesian methodology, such as nonignorable response and factor analysis, to state-of-the-art applications in economics, astrophysics, biomedicine, oceanography, and other areas. It guides readers in using Bayesian techniques for a range of statistical analyses. |
| Authors: | Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan |
| Resource Type: | eBook. |
| Subjects: | Bayesian statistical decision theory |
| Categories: | MATHEMATICS / Probability & Statistics / Bayesian Analysis |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Current Trends in Bayesian Methodology with Applications – Name: Abstract Label: Description Group: Ab Data: Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics, image analysis, shape analysis, Bayesian computation, clustering, uncertainty assessment, high-energy astrophysics, neural networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics. Each chapter is self-contained and focuses on a Bayesian methodology. It gives an overview of the area, presents theoretical insights, and emphasizes applications through motivating examples. This book reflects the diversity of Bayesian analysis, from novel Bayesian methodology, such as nonignorable response and factor analysis, to state-of-the-art applications in economics, astrophysics, biomedicine, oceanography, and other areas. It guides readers in using Bayesian techniques for a range of statistical analyses. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Satyanshu+K%2E+Upadhyay%22">Satyanshu K. Upadhyay</searchLink><br /><searchLink fieldCode="AR" term="%22Umesh+Singh%22">Umesh Singh</searchLink><br /><searchLink fieldCode="AR" term="%22Dipak+K%2E+Dey%22">Dipak K. Dey</searchLink><br /><searchLink fieldCode="AR" term="%22Appaia+Loganathan%22">Appaia Loganathan</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Bayesian+statistical+decision+theory%22">Bayesian statistical decision theory</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Probability+%26+Statistics+%2F+Bayesian+Analysis%22">MATHEMATICS / Probability & Statistics / Bayesian Analysis</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 519.542 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Bayesian statistical decision theory Type: general Titles: – TitleFull: Current Trends in Bayesian Methodology with Applications Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Satyanshu K. Upadhyay – PersonEntity: Name: NameFull: Umesh Singh – PersonEntity: Name: NameFull: Dipak K. Dey – PersonEntity: Name: NameFull: Appaia Loganathan – PersonEntity: Name: NameFull: Satyanshu K. Upadhyay – PersonEntity: Name: NameFull: Umesh Singh – PersonEntity: Name: NameFull: Dipak K. Dey – PersonEntity: Name: NameFull: Appaia Loganathan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2015 – D: 08 M: 06 Type: profile Y: 2015 Identifiers: – Type: isbn-print Value: 9781482235111 – Type: isbn-print Value: 9781138894068 – Type: isbn-print Value: 9780367377625 – Type: isbn-electronic Value: 9781482235128 – Type: isbn-electronic Value: 9780429172373 – Type: isbn-electronic Value: 9781040077139 Titles: – TitleFull: Current Trends in Bayesian Methodology with Applications Type: main |
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