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Bayesian Inference for Partially Identified Models

- Exploring the Limits of Limited Data

About Bayesian Inference for Partially Identified Models

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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  • Language:
  • English
  • ISBN:
  • 9780367570538
  • Binding:
  • Paperback
  • Pages:
  • 196
  • Published:
  • June 29, 2020
  • Dimensions:
  • 156x234x0 mm.
  • Weight:
  • 453 g.
Delivery: 1-2 weeks
Expected delivery: December 6, 2024

Description of Bayesian Inference for Partially Identified Models

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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