Keywords
statistics; mathematics; bayesian inference; probability; Algorithm; Confidence interval; Histogram; Monte Carlo method; Posterior probability; Sampling (statistics); WinBUGS
Abstract
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.
如果您有任何问题，请随时与我们联系，谢谢。Bayesian Methods for Statistical Analysis 内容均搜集于网络，本身不存储任何资源，如侵犯到您的权益，请提交反馈，我们将配合您第一时间删除。
评论0