Description: Bayesian Essentials with R (Springer Texts in Statistics) [Paperback] Marin, Jean-Michel and Robert, Christian P. Product Overview This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable. Bayesian Essentials with R can be used as a textbook at both undergraduate and graduate levels. It is particularly useful with students in professional degree programs and scientists to analyze data the Bayesian way. The text will also enhance introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not in Bayesian statistics. Read more Details Publisher : Springer; Softcover reprint of the original 2nd ed. 2014 edition (August 23, 2016) Language : English Paperback : 310 pages ISBN-10 : 1493950495 ISBN-13 : 92 Item Weight : 15.5 ounces Dimensions : 6.1 x 0.71 x 9.25 inches Best Sellers Rank: #6,286,375 in Books (See Top 100 in Books) #1,749 in Mathematical & Statistical Software #12,254 in Probability & Statistics (Books) #38,974 in Core #1,749 in Mathematical & Statistical Software #12,254 in Probability & Statistics (Books) We have been selling used books since 2012, and we've learned that the most important thing is doing good business. Honesty is our policy. Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.
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ISBN: 1493950495
ISBN10: 1493950495
ISBN13: 9781493950492
EAN: 9781493950492
MPN: does not apply
Brand: Springer
GTIN: 09781493950492
Number of Pages: Xiv, 296 Pages
Language: English
Publication Name: Bayesian Essentials with R
Publisher: Springer New York
Publication Year: 2016
Subject: Mathematical & Statistical Software, Probability & Statistics / General, Probability & Statistics / Bayesian Analysis
Item Height: 0.7 in
Item Weight: 167.4 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.2 in
Author: Christian Robert, Jean-Michel Marin
Item Width: 6.1 in
Series: Springer Texts in Statistics Ser.
Format: Trade Paperback