Dirichlet and Related Distributions: Theory, Methods and Applications

The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive review of the Dirichlet distribution and two extended versions, the Grouped Dirichl...

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Detalles Bibliográficos
Autores principales: Ng, Kai Wang, Tian, Guo-Liang, Tang, Man-Lai
Lenguaje:eng
Publicado: John Wiley & Sons 2011
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/1486966
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author Ng, Kai Wang
Tian, Guo-Liang
Tang, Man-Lai
author_facet Ng, Kai Wang
Tian, Guo-Liang
Tang, Man-Lai
author_sort Ng, Kai Wang
collection CERN
description The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive review of the Dirichlet distribution and two extended versions, the Grouped Dirichlet Distribution (GDD) and the Nested Dirichlet Distribution (NDD), arising from likelihood and Bayesian analysis of incomplete categorical data and survey data with non-response. The theoretical properties and applications are also reviewed in detail for other related distributions, such as the inve
id cern-1486966
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
publisher John Wiley & Sons
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spelling cern-14869662021-04-22T00:15:17Zhttp://cds.cern.ch/record/1486966engNg, Kai WangTian, Guo-LiangTang, Man-LaiDirichlet and Related Distributions: Theory, Methods and ApplicationsMathematical Physics and Mathematics The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive review of the Dirichlet distribution and two extended versions, the Grouped Dirichlet Distribution (GDD) and the Nested Dirichlet Distribution (NDD), arising from likelihood and Bayesian analysis of incomplete categorical data and survey data with non-response. The theoretical properties and applications are also reviewed in detail for other related distributions, such as the inveJohn Wiley & Sonsoai:cds.cern.ch:14869662011
spellingShingle Mathematical Physics and Mathematics
Ng, Kai Wang
Tian, Guo-Liang
Tang, Man-Lai
Dirichlet and Related Distributions: Theory, Methods and Applications
title Dirichlet and Related Distributions: Theory, Methods and Applications
title_full Dirichlet and Related Distributions: Theory, Methods and Applications
title_fullStr Dirichlet and Related Distributions: Theory, Methods and Applications
title_full_unstemmed Dirichlet and Related Distributions: Theory, Methods and Applications
title_short Dirichlet and Related Distributions: Theory, Methods and Applications
title_sort dirichlet and related distributions: theory, methods and applications
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1486966
work_keys_str_mv AT ngkaiwang dirichletandrelateddistributionstheorymethodsandapplications
AT tianguoliang dirichletandrelateddistributionstheorymethodsandapplications
AT tangmanlai dirichletandrelateddistributionstheorymethodsandapplications

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