发表于2024-11-22
A First Course in Bayesian Statistical Methods 2024 pdf epub mobi 电子书
有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!
评分有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!
评分有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!
评分有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!有谁能证明习题3.6?谢谢!
评分读这本书之前应该读一本《Statistical Inference》或者《Probability and Statistics》这样的书,否则会被那些beta函数、gamma函数搞晕。 不过这本书似乎更偏重于思想,而不是数学推导。
图书标签: Statistics 统计 贝叶斯 机器学习 数学 统计学 Bayes 概率统计
A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
写的非常清楚明了,很好懂,比Gelman那个容易自学
评分我嚼着 Bayesian 的特点是为很多东西提供了解释,回答了 why,这一点 statistical rethinking 那本书就做得很好 。只讲 techniques 我觉得就失却了 Bayesian 的大半魅力。还有这书讲解详略不当经常避重就轻,小结划分和排版也很不舒服,然后喜欢列举公式和结论。
评分当然不如男神
评分读完这本书,标志着本学期组会的完结……
评分讲的很底层,对理解理论基础有帮助,但如果想实战完全不合适
A First Course in Bayesian Statistical Methods 2024 pdf epub mobi 电子书