- 书名:Bayesian Statistical Modeling with Stan, R, and Python
- 出版社:Springer
- 作者:Kentaro Matsuura
- 出版年份:2023
- 电子书格式: pdf
- 简介:Master Bayesian statistical modeling using Stan, R, and Python with this comprehensive guide. Learn to build and implement Bayesian models, understand Markov Chain Monte Carlo (MCMC) methods, and apply these techniques to real-world data analysis. This book provides practical examples and clear explanations, making it perfect for students and professionals alike. Covering topics from basic concepts to advanced applications, it’s your essential resource for tackling complex statistical problems. Dive in and unlock the power of Bayesian inference!
- ISBN:9789811947544, 98119
- 下载地址(点击下载):
声明:本站所有文章,如无特殊说明或标注,均为本站原创发布。任何个人或组织,在未征得本站同意时,禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益,可联系我们进行处理。
评论(0)