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Book Categories |
| Preface | ||
| Introduction | ||
| 1 | The Bayesian algorithm | 1 |
| 2 | Prediction and model criticism | 70 |
| 3 | Linear regression models | 112 |
| 4 | Bayesian calculations | 183 |
| 5 | Non-linear regression models | 227 |
| 6 | Randomized, controlled and observational data | 265 |
| 7 | Models for panel data | 277 |
| 8 | Instrumental variables | 311 |
| 9 | Some time series models | 342 |
| App. 1 | A conversion manual | 259 |
| App. 2 | Programming | 365 |
| App. 3 | BUGS code | 375 |
| References | 383 | |
| Index | 391 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Andrew Stewart
reviewed Intro To Modern Bayesian Econometrics on September 25, 2011
Intro To Modern Bayesian Econometrics
Exhaustive review of results in the experimental game theory literature. Many classics, but may also be a bit out of date at the moment. Also, I wonder whether some of the findings contained may need to be reconsidered given the recent "replication crisis" in social science.
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Intro To Modern Bayesian Econometrics, In this new and expanding area, Tony Lancaster's text is the first comprehensive introduction to the Bayesian way of doing applied economics.
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Intro To Modern Bayesian Econometrics, In this new and expanding area, Tony Lancaster's text is the first comprehensive introduction to the Bayesian way of doing applied economics.
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