Bayesian inference for partially identified models : explorine the limits of limited data / Paul Gustafson, University of British Columbia, Vancouver, Canada.

Format:

Book

Author/Creator:

Gustafson, Paul, 1968- author.

Series:

Monographs on statistics and applied probability (Series) ; 141.

Monographs on Statistics & Applied Probability ; 141

Chapman & Hall Book

Language:

English

Subjects (All):

Bayesian statistical decision theory.

Physical Description:

1 online resource (196 p.)

Edition:

1st edition

Place of Publication:

Boca Raton, Florida : CRC Press, [2015]

Language Note:

English

System Details:

text file

Summary:

Introduction What Are Partially Identified Models and Why Are They Important? What Is for and against Us? Some Simple Examples of PIMs Evaluating Inference The Tell-Tale Signature of Partial Identification The Structure of Posterior Distributions in PIMs Frequentist Properties of Bayesian estimators in PIMs Interval Estimation Study Design Posterior Computation PIM versus Identified/Misspecified Model Sensitivity Analysis Further Examples

Contents:

Cover; Dedication; Contents; List of Figures; List of Tables; Preface; Guide to Notation; Chapter 1: Introduction; Chapter 2: The Structure of Inference in Partially Identified Models; Chapter 3: Partial Identification versus Model Misspecification: Is Honesty Best?; Chapter 4: Further Examples: Models Involving Misclassification; Chapter 5: Further Examples: Models Involving Instrumental Variables; Chapter 6: Further Examples; Chapter 7: Further Topics; Chapter 8: Concluding Thoughts; Bibliography

Notes:

A Chapman and Hall book--Title page.

Includes bibliographical references.

Description based on online resource; title from PDF title page (ebrary, viewed April 15, 2015).

ISBN:

9781040079560

1040079563

9780429192289

0429192282

OCLC:

908064963