--- product_id: 6963312 title: "Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science)" price: "813.62 DT" currency: TND in_stock: true reviews_count: 7 url: https://www.desertcart.tn/products/6963312-markov-chain-monte-carlo-chapman-and-hall-crc-texts-in store_origin: TN region: Tunisia --- # Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science) **Price:** 813.62 DT **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science) - **How much does it cost?** 813.62 DT with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.tn](https://www.desertcart.tn/products/6963312-markov-chain-monte-carlo-chapman-and-hall-crc-texts-in) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description desertcart.com: Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science): 9781584885870: Gamerman, Dani, Lopes, Hedibert F.: Books Review: Marlov Chain Monte Carlo Techniques - This is an excellent book. It describes the material clearly, using plenty of cogent examples. I gladly recccomend this book. Review: Acceptable Bookon MCMC - I have several negative comments before a full review and these apply to the first edition of their text. First, most of Chapter 4 (sections 4.1 - 4.5) is lifted from Chapters 1 and 2 of Hoel, Port, and Stone (1972) and reorganized without any attribution - even the notation and examples are the same. I find this offensive. Second, they could really use an English-speaking editor to clean up the way the text reads, I can't name the number of times I saw "highly dimensional distributions" and other annoying English. The editor of this book should be fired, if there was one. Of course, in the Preface it does state "The book grew out of lecture notes in Portuguese prepared for a short course on the topic taught at the XII Meeting of Brazilian Statisticians and Probabilists, held in Caxambu (MG) in August 1996." Consider yourself warned. That said, the book is informative, with the following major outline: Chapter 1: Stochastic Simulation Chapter 2: Bayesian Inference Chapter 3: Approximate Methods of Inference Chapter 4: Markov Chains Chapter 5: Gibbs Sampling Chapter 6: Metropolis-Hastings Algorithms Chapter 7: Further Topics in MCMC The first three chapters are informative, but you won't learn the theory for the first time from this text. Chapter 4 focuses primarily on discrete parameter, discrete sample space Markov processes - Markov chains. It's not as clear as the original Hoel, Port, and Stone from which it has been lifted and reorganized. It is useful as review if you already have a solid grasp of Markov chain theory. At the end of the chapter there's some basic prose about extending the major results of Markov chain theory to general state space, discrete parameter space Markov chains so that continuous limiting distributions can be simulated. Chapters 5 and 6 are adequate for understanding Gibbs sampling and the Metropolis-Hastings algorithm for constructing Markov chains that have a specified limiting distribution. The book is adequate for its stated purpose, though I found no explicit coupling of the MCMC theory to Bayesian inference problems in the text...notwithstanding the title of Chapter 2 (see above) and the subtitle of the textbook. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #1,505,839 in Books ( See Top 100 in Books ) #72 in Stochastic Modeling #267 in Mathematical & Statistical Software #1,544 in Probability & Statistics (Books) | | Customer Reviews | 4.4 4.4 out of 5 stars (20) | | Dimensions | 6.38 x 0.96 x 9.45 inches | | Edition | 2nd | | ISBN-10 | 1584885874 | | ISBN-13 | 978-1584885870 | | Item Weight | 1.35 pounds | | Language | English | | Part of series | Chapman & Hall/CRC Texts in Statistical Science | | Print length | 342 pages | | Publication date | May 10, 2006 | | Publisher | Chapman and Hall/CRC | ## Images ![Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science) - Image 1](https://m.media-amazon.com/images/I/61COy8TaFpL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Marlov Chain Monte Carlo Techniques *by R***H on May 23, 2012* This is an excellent book. It describes the material clearly, using plenty of cogent examples. I gladly recccomend this book. ### ⭐⭐⭐ Acceptable Bookon MCMC *by E***G on October 13, 2012* I have several negative comments before a full review and these apply to the first edition of their text. First, most of Chapter 4 (sections 4.1 - 4.5) is lifted from Chapters 1 and 2 of Hoel, Port, and Stone (1972) and reorganized without any attribution - even the notation and examples are the same. I find this offensive. Second, they could really use an English-speaking editor to clean up the way the text reads, I can't name the number of times I saw "highly dimensional distributions" and other annoying English. The editor of this book should be fired, if there was one. Of course, in the Preface it does state "The book grew out of lecture notes in Portuguese prepared for a short course on the topic taught at the XII Meeting of Brazilian Statisticians and Probabilists, held in Caxambu (MG) in August 1996." Consider yourself warned. That said, the book is informative, with the following major outline: Chapter 1: Stochastic Simulation Chapter 2: Bayesian Inference Chapter 3: Approximate Methods of Inference Chapter 4: Markov Chains Chapter 5: Gibbs Sampling Chapter 6: Metropolis-Hastings Algorithms Chapter 7: Further Topics in MCMC The first three chapters are informative, but you won't learn the theory for the first time from this text. Chapter 4 focuses primarily on discrete parameter, discrete sample space Markov processes - Markov chains. It's not as clear as the original Hoel, Port, and Stone from which it has been lifted and reorganized. It is useful as review if you already have a solid grasp of Markov chain theory. At the end of the chapter there's some basic prose about extending the major results of Markov chain theory to general state space, discrete parameter space Markov chains so that continuous limiting distributions can be simulated. Chapters 5 and 6 are adequate for understanding Gibbs sampling and the Metropolis-Hastings algorithm for constructing Markov chains that have a specified limiting distribution. The book is adequate for its stated purpose, though I found no explicit coupling of the MCMC theory to Bayesian inference problems in the text...notwithstanding the title of Chapter 2 (see above) and the subtitle of the textbook. ### ⭐⭐⭐⭐⭐ very good *by B***S on February 14, 2009* This book is very self-contained and provides intuitive explanations and illuminating examples. Very good for self-study. --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.tn/products/6963312-markov-chain-monte-carlo-chapman-and-hall-crc-texts-in](https://www.desertcart.tn/products/6963312-markov-chain-monte-carlo-chapman-and-hall-crc-texts-in) --- *Product available on Desertcart Tunisia* *Store origin: TN* *Last updated: 2026-07-13*