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BAYESIAN THEORY AND APPLICATIONS

机译:贝叶斯理论与应用

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摘要

This volume, in honour of Sir Adrain Smith, contains 33 papers split into 12 sections covering a wide range of topics, including fundamental notions of Bayesian statistics, the implementation of Bayesian statistic methodology using Monte Carlo methods and applications of Bayesian methods in finance, medicine and engineering. This wide range of topics reflects the far-reaching influence of Professor Smith's pioneering work in statistical research. The structure of the volume owes much to the editors' desires to have a 'Bayesian textbook' flavour with most sections containing an overview/tutorial paper followed by more narrowly focused papers illustrating state-of-the-art Bayesian statistics. The useful introductions to the many and varied topics together with the extensive bibliographies make this a useful addition to a statistician's library, providing an insightful introduction to many areas of Bavesian statistics.
机译:为了纪念Adrain Smith爵士,本卷包含33篇论文,分为12个部分,涵盖了广泛的主题,包括贝叶斯统计的基本概念,使用蒙特卡洛方法的贝叶斯统计方法的实现以及贝叶斯方法在金融,医学中的应用和工程。这一广泛的主题反映了史密斯教授在统计研究方面的开创性工作所产生的深远影响。本书的结构很大程度上归功于编辑们希望拥有“贝叶斯教科书”风格,大多数章节都包含概述/教程论文,其次是重点放在阐述最新贝叶斯统计数据的论文。对众多主题的有用介绍以及广泛的书目使这成为统计学家资料库的有益补充,为Bavesian统计的许多领域提供了有见地的介绍。

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  • 来源
    《Journal of Time Series Analysis》 |2013年第6期|744-744|共1页
  • 作者

    Peter Neal;

  • 作者单位

    Department of Mathematics and Statisticsm, Fylde College Lancaster University Lancaster UK;

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  • 原文格式 PDF
  • 正文语种 eng
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