Title
Handbook Of Markov Chain Monte Carlo (Chapman & Hall/Crc Handbooks Of Modern Statistical Methods)
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 3–5 business days
- Estimated Delivery: 6–10 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Since Their Popularization In The 1990S, Markov Chain Monte Carlo (Mcmc) Methods Have Revolutionized Statistical Computing And Have Had An Especially Profound Impact On The Practice Of Bayesian Statistics. Furthermore, Mcmc Methods Have Enabled The Development And Use Of Intricate Models In An Astonishing Array Of Disciplines As Diverse As Fisheries Science And Economics. The Wideranging Practical Importance Of Mcmc Has Sparked An Expansive And Deep Investigation Into Fundamental Markov Chain Theory.The Handbook Of Markov Chain Monte Carlo Provides A Reference For The Broad Audience Of Developers And Users Of Mcmc Methodology Interested In Keeping Up With Cuttingedge Theory And Applications. The First Half Of The Book Covers Mcmc Foundations, Methodology, And Algorithms. The Second Half Considers The Use Of Mcmc In A Variety Of Practical Applications Including In Educational Research, Astrophysics, Brain Imaging, Ecology, And Sociology.The Indepth Introductory Section Of The Book Allows Graduate Students And Practicing Scientists New To Mcmc To Become Thoroughly Acquainted With The Basic Theory, Algorithms, And Applications. The Book Supplies Detailed Examples And Case Studies Of Realistic Scientific Problems Presenting The Diversity Of Methods Used By The Wideranging Mcmc Community. Those Familiar With Mcmc Methods Will Find This Book A Useful Refresher Of Current Theory And Recent Developments.
⚠️ 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: What is the page count of the Handbook of Markov Chain Monte Carlo? A: The Handbook of Markov Chain Monte Carlo has six hundred eighteen pages. This comprehensive length covers both foundational theory and practical applications.
- Q: What are the dimensions of this book? A: The dimensions of the book are seven point five two inches in length, one point two six inches in width, and ten point five one inches in height. These dimensions make it suitable for bookshelf storage.
- Q: What type of binding does this book have? A: The book is bound in hardcover. This durable binding ensures longevity and protection for the content inside.
- Q: Who is the author of the Handbook of Markov Chain Monte Carlo? A: The author of the Handbook is Steve Brooks. He is recognized for his contributions to the field of statistical methods.
- Q: What category does this book fall under? A: This book falls under the category of Probability and Statistics. It focuses on advanced statistical techniques and methodologies.
- Q: How can I apply MCMC methods in my research? A: You can apply MCMC methods by following the algorithms and case studies presented in this book. The second half showcases various practical applications across disciplines.
- Q: Is this book appropriate for beginners? A: Yes, this book is appropriate for beginners. It includes an in-depth introductory section that helps new students comprehend the basic theory and algorithms.
- Q: What fields can benefit from MCMC techniques? A: Fields such as educational research, astrophysics, brain imaging, ecology, and sociology can benefit from MCMC techniques. The book provides examples from these diverse areas.
- Q: Do you need prior knowledge of statistics to understand this book? A: While some prior knowledge of statistics is helpful, the introductory section is designed to help newcomers grasp essential concepts. The book caters to a broad audience.
- Q: How should I care for this hardcover book? A: To care for the hardcover book, store it upright on a shelf away from direct sunlight. This prevents damage to the cover and pages.
- Q: What if my book arrives damaged? A: If your book arrives damaged, you should contact the seller for a return or exchange. Most retailers have policies to address such issues.
- Q: Can I use this book for self-study? A: Yes, you can use this book for self-study. It includes detailed examples and case studies that facilitate independent learning.
- Q: Is this book suitable for graduate students? A: Yes, this book is suitable for graduate students. It provides comprehensive coverage of MCMC foundations and applications, ideal for advanced study.
- Q: What features make this book a good reference? A: The book features detailed examples, case studies, and cutting-edge theory, making it an excellent reference for both practitioners and researchers.
- Q: Are there any practical applications discussed in the book? A: Yes, the book discusses numerous practical applications, including those in education, ecology, and economics. These examples illustrate MCMC's versatility.