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

Name: Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
Price: 67.26 USD
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4.7 of 5 Stars: Science & Mathematics - Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

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Book Synopsis: Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice.

New to the Third Edition:

Four new chapters on nonparametric modeling
Coverage of weakly informative priors and boundary-avoiding priors
Updated discussion of cross-validation and predictive information criteria
Improved convergence monitoring and effective sample size calculations for iterative simulation
Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation
New and revised software code

The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Details

Enhance your data analysis skills with the Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) book. Widely considered the leading text on Bayesian methods, this third edition has been updated to include the latest advancements in the field. With an accessible and practical approach, this book is perfect for both beginners and experienced statisticians.

What sets this book apart is its emphasis on real-world applications and research. Throughout the text, you'll find numerous worked examples that demonstrate the use of Bayesian inference in practice. Whether you're an undergraduate student just starting out or a seasoned researcher looking for new methods, this book has something for everyone.

The third edition now includes four new chapters on nonparametric modeling, covering weakly informative priors and boundary-avoiding priors. Additionally, you'll find updated discussions on cross-validation, predictive information criteria, convergence monitoring, and effective sample size calculations. The book also introduces you to Hamiltonian Monte Carlo, variational Bayes, and expectation propagation.

Not only does this book provide valuable insights and techniques, but it also comes with additional materials to enhance your learning experience. On the book's web page, you'll find data sets used in the examples, solutions to selected exercises, and software instructions. Everything you need to master Bayesian data analysis is at your fingertips.

Don't miss out on the opportunity to elevate your statistical analysis skills with Bayesian methods. Get your hands on the Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) book today.

Click here to order now!

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