Bayesian Analysis of Infectious Diseases: Covid-19 and Beyond
暫譯: 傳染病的貝葉斯分析:新冠病毒及其後續影響
Broemeling, Lyle D.
- 出版商: CRC
- 出版日期: 2021-02-08
- 售價: $6,190
- 貴賓價: 9.5 折 $5,881
- 語言: 英文
- 頁數: 342
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367633868
- ISBN-13: 9780367633868
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相關分類:
機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
商品描述
Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. The book describes the foundation of Bayesian statistics while explicating the biology and evolutionary behavior of infectious diseases, including viral and bacterial manifestations of the contagion. The book discusses the application of Markov Chains to contagious diseases, previews data analysis models, the epidemic threshold theorem, and basic properties of the infection process. Also described are the chain binomial model for the evolution of epidemics.
Features:
- Represents the first book on infectious disease from a Bayesian perspective.
- Employs WinBUGS and R to generate observations that follow the course of contagious maladies.
- Includes discussion of the coronavirus pandemic as well as many examples from the past, including the flu epidemic of 1918-1919.
- Compares standard non-Bayesian and Bayesian inferences.
- Offers a companion website with the R and WinBUGS code.
商品描述(中文翻譯)
《傳染病的貝葉斯分析 - COVID-19 及其後續》展示了如何使用貝葉斯方法來分析傳染病的演變行為,包括冠狀病毒大流行。這本書描述了貝葉斯統計的基礎,同時闡明了傳染病的生物學和演變行為,包括病毒和細菌的傳染表現。書中討論了馬可夫鏈在傳染病中的應用,預覽了數據分析模型、流行病閾值定理以及感染過程的基本特性。還描述了流行病演變的鏈式二項模型。
特色:
- 代表了第一本從貝葉斯視角探討傳染病的書籍。
- 使用 WinBUGS 和 R 生成遵循傳染病過程的觀察數據。
- 包含對冠狀病毒大流行的討論,以及許多過去的例子,包括 1918-1919 年的流感疫情。
- 比較了標準的非貝葉斯推斷和貝葉斯推斷。
- 提供了一個伴隨網站,包含 R 和 WinBUGS 的代碼。
作者簡介
作者簡介(中文翻譯)
Lyle D. Broemeling 博士是 Broemeling and Associates Inc. 的董事,也是顧問生物統計學家。他在學術健康科學中心工作了約 20 年,曾在德克薩斯州醫學分校(University of Texas Medical Branch)教學並擔任顧問,還在德克薩斯州 MD 安德森癌症中心(University of Texas MD Anderson Cancer Center)和德克薩斯州公共衛生學院(University of Texas School of Public Health)任教。他的主要興趣在於開發用於醫學和生物問題的貝葉斯方法,並撰寫統計學教科書。他的前著作包括 Bayesian Biostatistics and Diagnostic Medicine 和 Bayesian Methods for Agreement。