Bayesian Essentials with R(Springer Texts in Statistics)

贝叶斯定理精要与R 第2版

数学史

原   价:
1215
售   价:
972.00
优惠
平台大促 低至8折优惠
发货周期:预计8-10周发货
出  版 社
出版时间
2013年10月29日
装      帧
精装
ISBN
9781461486862
复制
页      码
296
语      种
英文
版      次
2nd Ed.
综合评分
暂无评分
我 要 买
- +
库存 10 本
  • 图书详情
  • 目次
  • 买家须知
  • 书评(0)
  • 权威书评(0)
图书简介
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.
本书暂无推荐
本书暂无推荐
看了又看
  • 上一个
  • 下一个