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Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data
Paperback
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Prob
Medical ReferenceProbability & Statistics
ISBN13: 9780367570538
Publisher: CRC Press
Published: Jun 30 2020
Pages: 196
Weight: 0.70
Height: 0.40 Width: 6.10 Depth: 9.10
Language: English
This book 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 PIM
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Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data
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