Bayesian Statistical Methods (Paperback)

Langue : anglais

Edité par Taylor & Francis Ltd, London, 2021

1032093188 / 9781032093185

Série : Livre 59 sur 126 - Chapman & Hall/CRC Texts in Statistical Science

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Paperback. Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures.In addition to the basic concepts of Bayesian inferential methods, the book covers many general topics: Advice on selecting prior distributions Computational methods including Markov chain Monte Carlo (MCMC) Model-comparison and goodness-of-fit measures, including sensitivity to priors Frequentist properties of Bayesian methods Case studies covering advanced topics illustrate the flexibility of the Bayesian approach: Semiparametric regression Handling of missing data using predictive distributions Priors for high-dimensional regression models Computational techniques for large datasets Spatial data analysis The advanced topics are presented with sufficient conceptual depth that the reader will be able to carry out such analysis and argue the relative merits of Bayesian and classical methods. A repository of R code, motivating data sets, and complete data analyses are available on the books website.Brian J. Reich, Associate Professor of Statistics at North Carolina State University, is currently the editor-in-chief of the Journal of Agricultural, Biological, and Environmental Statistics and was awarded the LeRoy & Elva Martin Teaching Award.Sujit K. Ghosh, Professor of Statistics at North Carolina State University, has over 22 years of research and teaching experience in conducting Bayesian analyses, received the Cavell Brownie mentoring award, and served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute. Designed to provide a good balance of theory and computational methods that will appeal to students and practitioners with minimal mathematical and statistical background and no experience in Bayesian statistics to students and practitioners looking for advanced methodologies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

N° de réf. du vendeur 9781032093185

Titre
Bayesian Statistical Methods (Paperback)
Auteur
Brian J. Reich
Éditeur
Taylor & Francis Ltd, London
Année de publication
2021
État de l'article
new
Reliure
Paperback
Langue
anglais
ISBN à 10 chiffres
1032093188
ISBN à 13 chiffres
9781032093185
Série
Livre 59 sur 126: Chapman & Hall/CRC Texts in Statistical Science

AussieBookSeller

Truganina, VIC, Australie

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Vendeur AbeBooks depuis 22 juin 2007

Frais d'expédition de Australie vers Etats-Unis

Article25 à 45 jours ouvrés8 à 14 jours ouvrés
Premier articleEUR 33,21EUR 39,49
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