Title
Bayesian Data Analysis, Second Edition (Chapman & Hall/Crc Texts In Statistical Science)-used
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Incorporating New And Updated Information, This Second Edition Of The Bestselling Text In Bayesian Data Analysis Continues To Emphasize Practice Over Theory, Describing How To Conceptualize, Perform, And Critique Statistical Analyses From A Bayesian Perspective. Its Worldclass Authors Provide Guidance On All Aspects Of Bayesian Data Analysis And Include Examples Of Real Statistical Analyses, Based On Their Own Research, That Demonstrate How To Solve Complicated Problems. Changes In The New Edition Include: Stronger Focus On Mcmc Revision Of The Computational Advice In Part Iii New Chapters On Nonlinear Models And Decision Analysis Several Additional Applied Examples From The Authors' Recent Research Additional Chapters On Current Models For Bayesian Data Analysis Such As Nonlinear Models, Generalized Linear Mixed Models, And More Reorganization Of Chapters 6 And 7 On Model Checking And Data Collectionbayesian Computation Is Currently At A Stage Where There Are Many Reasonable Ways To Compute Any Given Posterior Distribution. However, The Best Approach Is Not Always Clear Ahead Of Time. Reflecting This, The New Edition Offers A More Pluralistic Presentation, Giving Advice On Performing Computations From Many Perspectives While Making Clear The Importance Of Being Aware That There Are Different Ways To Implement Any Given Iterative Simulation Computation. The New Approach, Additional Examples, And Updated Information Make Bayesian Data Analysis An Excellent Introductory Text And A Reference That Working Scientists Will Use Throughout Their Professional Life.
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- Q: What is the main focus of 'Bayesian Data Analysis, Second Edition'? A: The book emphasizes practical applications of Bayesian data analysis over theoretical concepts, providing guidance on conceptualizing, performing, and critiquing statistical analyses.
- Q: Who is the author of this book? A: The author of 'Bayesian Data Analysis, Second Edition' is Andrew Gelman, a prominent statistician known for his work in Bayesian statistics.
- Q: What are the key updates in the second edition? A: Key updates include a stronger focus on MCMC, revised computational advice, new chapters on nonlinear models and decision analysis, and additional applied examples from recent research.
- Q: Is this book suitable for beginners in statistics? A: Yes, 'Bayesian Data Analysis, Second Edition' is designed as an excellent introductory text for beginners, while also serving as a reference for experienced professionals.
- Q: What is the binding type of this book? A: The book is available in hardcover binding, which provides durability and a professional look.
- Q: How many pages does the book have? A: The book contains a total of 690 pages, offering an in-depth exploration of Bayesian data analysis.
- Q: What condition is the book in? A: The book is listed as 'New', ensuring it is in pristine condition for readers.
- Q: When was the second edition published? A: The second edition of 'Bayesian Data Analysis' was published on July 29, 2003.
- Q: Does this book include examples of real statistical analyses? A: Yes, the book includes examples based on the authors' own research, demonstrating how to solve complicated statistical problems.
- Q: What topics does the book cover related to Bayesian computation? A: The book covers various approaches to Bayesian computation, emphasizing the importance of understanding different methods for implementing iterative simulation computations.