Bayesian inference for partially identified models : exploring the limits of limited data

By:

Gustafson, Paul

Material type: Text

TextPublication details: Boca Raton CRC Press 2015Description: 171pISBN:

9780367240202

Subject(s):

DDC classification:

519.542 GUS

Summary: 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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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Mathematics	519.542 GUS (Browse shelf(Opens below))	Available		001000

https://www.routledge.com/Bayesian-Inference-for-Partially-Identified-Models-Exploring-the-Limits/Gustafson/p/book/9780367570538

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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