Bayesian Methods for Data Analysis, 3/e (Hardcover)
暫譯: 數據分析的貝葉斯方法（第三版）

Bradley P. Carlin, Thomas A. Louis

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

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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)

擴展其範疇至非統計學家，《貝葉斯數據分析方法（第三版）》提供了一個可接觸的貝葉斯分析基礎及應用的介紹。這一版除了對材料進行全面重組外，更加專注於通過馬可夫鏈蒙地卡羅（Markov chain Monte Carlo, MCMC）方法實現的層級貝葉斯建模及相關數據分析技術。

第三版的新內容


  • 新的數據範例、相應的 R 和 WinBUGS 代碼，以及作業問題

  • 對層級建模的明確描述和插圖——這在貝葉斯數據分析中已成為常見做法

  • 一章新的貝葉斯設計，強調貝葉斯臨床試驗

  • 完全修訂和擴展的排名和直方圖估計部分

  • 一個新的案例研究，關於傳染病建模和1918年流感疫情

  • 為合格的講師提供的解答手冊，包含每個作業問題的解答、計算機代碼及相關輸出——電子版和印刷版均可獲得

適合任何進行統計分析的人士

本書專注於生物統計學、流行病學和醫學的應用，基於其前作的受歡迎程度，使其適合更多的從業者和學生。

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