Current trends in Bayesian methodology with applications

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, im...

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Detalles Bibliográficos
Autores principales: Upadhyay, Satyanshu K, Singh, Umesh, Dey, Dipak K, Loganathan, Appaia
Lenguaje:eng
Publicado: CRC Press 2015
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/2031930
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author Upadhyay, Satyanshu K
Singh, Umesh
Dey, Dipak K
Loganathan, Appaia
author_facet Upadhyay, Satyanshu K
Singh, Umesh
Dey, Dipak K
Loganathan, Appaia
author_sort Upadhyay, Satyanshu K
collection CERN
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
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher CRC Press
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spelling cern-20319302021-04-21T20:10:40Zhttp://cds.cern.ch/record/2031930engUpadhyay, Satyanshu KSingh, UmeshDey, Dipak KLoganathan, AppaiaCurrent trends in Bayesian methodology with applicationsMathematical Physics and MathematicsCollecting 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 onCRC Pressoai:cds.cern.ch:20319302015
spellingShingle Mathematical Physics and Mathematics
Upadhyay, Satyanshu K
Singh, Umesh
Dey, Dipak K
Loganathan, Appaia
Current trends in Bayesian methodology with applications
title Current trends in Bayesian methodology with applications
title_full Current trends in Bayesian methodology with applications
title_fullStr Current trends in Bayesian methodology with applications
title_full_unstemmed Current trends in Bayesian methodology with applications
title_short Current trends in Bayesian methodology with applications
title_sort current trends in bayesian methodology with applications
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2031930
work_keys_str_mv AT upadhyaysatyanshuk currenttrendsinbayesianmethodologywithapplications
AT singhumesh currenttrendsinbayesianmethodologywithapplications
AT deydipakk currenttrendsinbayesianmethodologywithapplications
AT loganathanappaia currenttrendsinbayesianmethodologywithapplications

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