The Bayesian Choice: From DecisionTheoretic Foundations to Computational Implementation (Springer Texts in Statistics),New

The Bayesian Choice: From DecisionTheoretic Foundations to Computational Implementation (Springer Texts in Statistics),New

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UPC: 9780387952314
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Bayesian statistics is a very active research area with new theoretical results and applications. This book will serve as an introduction to the area.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: How many pages does this book have? A: This book has six hundred twenty-eight pages. It provides an in-depth exploration of Bayesian statistics.
  • Q: What are the dimensions of the book? A: The book measures six point thirty-eight inches in length, one point thirty-eight inches in width, and nine point forty-six inches in height. These dimensions make it a standard size for a textbook.
  • Q: What is the binding type of this book? A: This book is mass market bound. This makes it durable and suitable for regular use.
  • Q: Who is the author of this book? A: The author of this book is Christian Robert. He is well-known for his contributions to the field of Bayesian statistics.
  • Q: What is the category of this book? A: This book falls under the category of Probability & Statistics. It is designed for those interested in statistical methods.
  • Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It serves as an introduction to Bayesian statistics with clear explanations.
  • Q: Can I use this book for a graduate-level course? A: Yes, this book is appropriate for graduate-level courses. It covers both theoretical foundations and computational implementation.
  • Q: How can I apply the concepts in this book? A: You can apply the concepts by implementing Bayesian methods in statistical analysis. It provides practical examples and computational techniques.
  • Q: What is the reading level of this book? A: The reading level is suitable for upper undergraduate and graduate students. It assumes some prior knowledge of statistics.
  • Q: How should I care for this book? A: To care for this book, store it in a cool, dry place. Avoid exposing it to direct sunlight to maintain its quality.
  • Q: Is this book safe to handle for long periods? A: Yes, this book is safe to handle for extended periods. There are no hazardous materials involved.
  • Q: Can I return this book if I don't like it? A: Yes, you can return this book if you are not satisfied. Please check the return policy of the seller for specific details.
  • Q: What if the book arrives damaged? A: If the book arrives damaged, you can request a replacement or refund. Contact customer support to resolve any issues.
  • Q: Does this book come with any supplemental materials? A: No, this book does not come with supplemental materials. It is a standalone text focused on Bayesian statistics.
  • Q: Is this book part of a series? A: Yes, this book is part of the Springer Texts in Statistics series. It is known for high-quality literature in the field.

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