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Alston, Clair L.

Case Studies in Bayesian Statistical Modelling and Analysis

Alston, Clair L. - Case Studies in Bayesian Statistical Modelling and Analysis, ebook

96,50€

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ISBN: 9781118394328
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Provides an accessible foundation to Bayesian analysis using real world models

This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches.

Case Studies in Bayesian Statistical Modelling and Analysis:

  • Illustrates how to do Bayesian analysis in a clear and concise manner using real-world problems.
  • Each chapter focuses on a real-world problem and describes the way in which the problem may be analysed using Bayesian methods.
  • Features approaches that can be used in a wide area of application, such as, health, the environment, genetics, information science, medicine, biology, industry and remote sensing.

Case Studies in Bayesian Statistical Modelling and Analysis is aimed at statisticians, researchers and practitioners who have some expertise in statistical modelling and analysis, and some understanding of the basics of Bayesian statistics, but little experience in its application. Graduate students of statistics and biostatistics will also find this book beneficial.

Keywords: Bayesian Analysis, Case Studies in Bayesian Statistical Modelling and Analysis, C. Alston, Bayesian modeling, linear regression models, Bayesian Meta-Analysis, Bayesian mixed effects models, Bayesian analysis of the Normal

Author(s)
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2012
Language
en
Edition
1
Series
Wiley Series in Probability and Statistics
Page amount
504 pages
Category
Natural Sciences
Format
Ebook
eISBN (ePUB)
9781118394328
Printed ISBN
9781119941828

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