
- 书名:Bayesian Computation With R
- 出版社:Springer-Verlag New York
- 作者:Jim Albert (auth.)
- 出版年份:2009
- 电子书格式: pdf
- 简介:Master Bayesian computation techniques with this comprehensive guide. Learn practical applications using R, covering Markov chain Monte Carlo (MCMC), Gibbs sampling, and Metropolis-Hastings algorithms. Ideal for statisticians, data scientists, and students seeking to enhance their Bayesian modeling skills. Explore diverse examples and build a strong foundation in Bayesian inference and computation. Gain proficiency in using R for Bayesian data analysis, making this book an invaluable resource for both theoretical understanding and practical implementation.
- ISBN:9780387096070, 97803
- 下载地址(点击下载):
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