The development of Markov Chain in Monte Carlo Methods allow Bayesian statisticians to perform computations that were impossible just a few years ago. This book will be of interest to researchers in this very active area.
Read More
The development of Markov Chain in Monte Carlo Methods allow Bayesian statisticians to perform computations that were impossible just a few years ago. This book will be of interest to researchers in this very active area.
Read Less
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Very Good. 8vo-over 7¾"-9¾" tall. A touch of edgewear, with some light fading tospine. No. "1031" written at top edge, inside front cover. Otherwise, appears new, unread. Very clean and bright with sound binding. Part of series Lecture Notes in Statistics, # 135. 192 pgs.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Fine. Trade paperback (US). Glued binding. 192 p. Contains: Unspecified, Illustrations, black & white. Lecture Notes in Statistics, 135. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Fine. Trade paperback (US). Glued binding. 192 p. Contains: Unspecified, Illustrations, black & white. Lecture Notes in Statistics, 135. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Nice collection of articles on different MCMC methods. Even if you are an expert in this field, you can possibly find this book interesting and useful. If you are new to MCMC you will enjoy the introductory articles which are nicely written. Overall, would recommend to anybody dealing with MCMC.
