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Bayesian Inference for Partially Identified Models Exploring the Limits of Limited Data
Free Download Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited DataEnglish | 2015 | ISBN: 1439869391 | 169 Pages | EPUB | 4 MB
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, properties, and applications of PIMs.
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