Bayesian Inference for Partially Identified Models

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Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years of research in this area, the author presents a thorough overview of the statistical theory, propertie...

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Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years of research in this area, the author presents a thorough overview of the statistical theory, propertie...

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  • Formats: epub
  • ISBN: 9781040079560
  • Publication Date: 1 Apr 2015
  • Publisher: CRC Press
  • Product language: English
  • Drm Setting: DRM