Bayesian Methods for Data Analysis, 3/e (Hardcover)

Bradley P. Carlin, Thomas A. Louis

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商品描述

Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques.

New to the Third Edition

  • New data examples, corresponding R and WinBUGS code, and homework problems
  • Explicit descriptions and illustrations of hierarchical modeling―now commonplace in Bayesian data analysis
  • A new chapter on Bayesian design that emphasizes Bayesian clinical trials
  • A completely revised and expanded section on ranking and histogram estimation
  • A new case study on infectious disease modeling and the 1918 flu epidemic
  • A solutions manual for qualifying instructors that contains solutions, computer code, and associated output for every homework problem―available both electronically and in print

Ideal for Anyone Performing Statistical Analyses

Focusing on applications from biostatistics, epidemiology, and medicine, this text builds on the popularity of its predecessors by making it suitable for even more practitioners and students.

商品描述(中文翻譯)

擴大對非統計學家的範圍,《Bayesian Methods for Data Analysis, Third Edition》提供了一個易於理解的介紹,介紹了貝葉斯分析的基礎和應用。除了對材料進行完全重新組織外,這一版本更加專注於通過馬爾可夫鏈蒙特卡羅(MCMC)方法和相關的數據分析技術來實現的階層貝葉斯建模。

第三版的新內容包括:
- 新的數據示例,相應的R和WinBUGS代碼以及作業問題
- 對階層建模的明確描述和插圖,這在貝葉斯數據分析中已經很常見
- 一個新的章節關於強調貝葉斯臨床試驗的貝葉斯設計
- 完全修訂和擴展的排名和直方圖估計部分
- 一個關於傳染病建模和1918年流感大流行的新案例研究
- 適用於合格教師的解答手冊,其中包含每個作業問題的解答、計算機代碼和相關輸出,可在電子版和印刷版上都可獲得

這本書適合從生物統計學、流行病學和醫學等領域進行應用的人士。它通過其前作的受歡迎程度,使更多的從業人員和學生能夠受益。