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Gibbs Sampling, Conjugate Priors and Coupling

机译:Gibbs采样,共轭先验和耦合

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摘要

We give a large family of simple examples where a sharp analysis of the Gibbs sampler can be proved by coupling. These examples involve standard statistical models - exponential families with conjugate priors or location families with natural priors. Our main approach uses a single eigenfunction (always explicitly available in the examples in question) and stochastic monotonic-ity. We give a satisfactory treatment of several examples that have defeated previous attempts at analysis.
机译:我们提供了大量简单的示例,可以通过耦合来证明对Gibbs采样器的清晰分析。这些示例涉及标准统计模型-具有共轭先验的指数族或具有自然先验的位置族。我们的主要方法使用单个特征函数(在所讨论的示例中始终明确可用)和随机单调性。我们给出了一些失败的例子,这些例子击败了先前的分析尝试。

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  • 来源
    《Sankhya 》 |2010年第1期| p.136-169| 共34页
  • 作者单位

    Stanford University, Palo Alto, USA, Department of Statistics Sequoia Hall, 390 Sbrra Mall Stanford University Stanford, CA 94305, USA;

    University of Florida, Gainesville, USA, Department of Mathematics 310 Malott Hall Cornell University Ithaca, NY 14853, USA;

    Cornell University, Ithaca, USA, Department of Statistics 102 Griffin-Floyd Hall University of Florida Gainesville, FL 32611, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    gibbs sampling; exponential families; stochastic monotonicity; coupling; location families;

    机译:吉布斯采样指数族;随机单调性耦合;位置家庭;

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