Bayesian inference for partially identified models explorine the limits of limited data
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...
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton, Florida :
CRC Press
[2015]
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| Edition: | 1st edition |
| Series: | Monographs on statistics and applied probability (Series) ;
141. |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628899206719 |
Table of 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
