EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Markov Chain Monte Carlo Innovations And Applications W S Kendall

Name: Markov Chain Monte Carlo Innovations And Applications W S Kendall
SKU: BELL-2330854
Price: 31.00 USD
Availability: InStock
Rating: 4.7 (36 reviews)

SKU: BELL-2330854

$ 31.00 ~~$ 45.00~~ (-31%)

4.7

36 reviews

Markov Chain Monte Carlo Innovations And Applications W S Kendall instant download after payment.

Publisher: World Scientific

File Extension: PDF

File size: 3.49 MB

Pages: 239

Author: W. S. Kendall, Faming Liang, Jian-Sheng Wang

ISBN: 9789812564276, 9812564276

Language: English

Year: 2005

Product desciption

Markov Chain Monte Carlo Innovations And Applications W S Kendall by W. S. Kendall, Faming Liang, Jian-sheng Wang 9789812564276, 9812564276 instant download after payment.

Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cross-fertilization. This book presents five expository essays by leaders in the field, drawing from perspectives in physics, statistics and genetics, and showing how different aspects of MCMC come to the fore in different contexts. The essays derive from tutorial lectures at an interdisciplinary program at the Institute for Mathematical Sciences, Singapore, which exploited the exciting ways in which MCMC spreads across different disciplines.