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 |
| 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 |
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| Item Description: | A Chapman and Hall book--Title page. |
| Physical Description: | 1 online resource (196 p.) |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9780429192289 |
