Bayesian Data Analysis: A Comprehensive Guide to Bayesian Modeling

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science Book 106)

by Andrew Gelman

4.7 out of 5

Language	:	English
File size	:	21969 KB
Screen Reader	:	Supported
Print length	:	675 pages

FREE

Bayesian data analysis is a powerful statistical approach that allows researchers to combine prior knowledge with data to make more informed inferences. It is based on the Bayes' theorem, which provides a framework for updating beliefs in light of new evidence.

Bayesian data analysis has a wide range of applications in science, engineering, and business. It is used to make predictions, estimate parameters, and perform model selection. Bayesian methods are also particularly well-suited for handling complex data structures, such as hierarchical models and time series.

Bayesian Data Analysis, Third Edition

Bayesian Data Analysis, Third Edition, is the definitive reference for Bayesian modeling. Written by the leading authority in the field, Gelman et al., it provides a comprehensive and unified treatment of the theory and practice of Bayesian analysis.

The book covers a wide range of topics, from basic concepts to advanced modeling techniques, and includes numerous real-world examples and exercises.

Bayesian Data Analysis, Third Edition, is the perfect resource for anyone who wants to learn about Bayesian modeling or use it in their own research.

Contents

The book is divided into three parts:

1. Part I:
2. Part II: Bayesian Modeling
3. Part III: Applications

Part I provides an overview of Bayesian data analysis, including the basic concepts, notation, and terminology. Part II covers the theory and practice of Bayesian modeling, including topics such as prior distributions, likelihood functions, and posterior distributions. Part III provides a wide range of applications, including examples from science, engineering, and business.

Key Features

• Comprehensive and unified treatment of Bayesian modeling
• Written by the leading authority in the field
• Includes numerous real-world examples and exercises
• Perfect for anyone who wants to learn about Bayesian modeling or use it in their own research

Bayesian Data Analysis, Third Edition, is the definitive reference for Bayesian modeling. It is a must-have for anyone who wants to learn about Bayesian analysis or use it in their own research.

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science Book 106)

by Andrew Gelman

4.7 out of 5

Language	:	English
File size	:	21969 KB
Screen Reader	:	Supported
Print length	:	675 pages

FREE