Case Studies in Bayesian Statistical Modelling and Analysis (Wiley Series in Probability and Statistics) - Hardcover

Hardcover

ISBN 10: 1119941822 ISBN 13: 9781119941828

Publisher: Wiley, 2012

Synopsis

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.

About this title

About the Author

Clair Alston, Queensland University of Technology and Science, Australia.

Kerrie L. Mengersen, Queensland University of Technology and Science, Australia.

Tony Pettitt, Queensland University of Technology and Science, Australia.

From the Back Cover

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.

From the Inside Flap

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.

Edition details

• Publisher: Wiley
• Publication date: 2012
• Language: English
• ISBN 10: 1119941822
• ISBN 13: 9781119941828
• Binding: Hardcover
• Edition number: 1
• Number of pages: 512
• Editor: Alston Clair L., Mengersen Kerrie L., Pettitt Anthony N.