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Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : Part A /

In honor of Dale J. Poirier, experienced editors Ivan Jeliazkov and Justin Tobias bring together a cast of expert contributors to explore the most up-to-date research on econometrics, including subjects such as panel data models, posterior simulation, and Bayesian models.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Poirier, Dale J. (honouree.), Jeliazkov, Ivan, 1973- (Editor ), Tobias, Justin L. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: United Kingdom : Emerald Publishing, 2019.
Edición:First edition.
Colección:Advances in econometrics ; v. 40A.
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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245 0 0 |a Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling :  |b Part A /  |c edited by Ivan Jeliazkov, University of California, USA Justin L. Tobias, Purdue University, USA. 
250 |a First edition. 
264 1 |a United Kingdom :  |b Emerald Publishing,  |c 2019. 
264 4 |c ©2019 
300 |a 1 online resource (331 pages) 
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490 1 |a Advances in econometrics,  |x 0731-9053 ;  |v volume 40A 
520 |a In honor of Dale J. Poirier, experienced editors Ivan Jeliazkov and Justin Tobias bring together a cast of expert contributors to explore the most up-to-date research on econometrics, including subjects such as panel data models, posterior simulation, and Bayesian models. 
504 |a Includes bibliographical references and index. 
500 |a "Intended to honor the scholarship of ... Professor Dale J. Poirier"--Page vii 
505 0 |a Foreword / Ivan Jeliazkov and Justin Tobias -- 1. A Semiparametric Stochastic Frontier Model with Correlated Effects / Gholamreza Hajargasht and William Griffiths -- 2. A Bayesian Stochastic Frontier Model with Endogenous Regressors: An Application to the Effect of Division of Labor in Japanese Water Supply Organizations / Eri Nakamura, Takuya Urakami and Kazuhiko Kakamu -- 3. An Alternate Parameterization for Bayesian Nonparametric / Semiparametric Regression / Joshua Chan and Justin Tobias -- 4. Variable Selection in Sparse Semiparametric Single Index Models / Jianghao Chu, Tae-Hwy Lee and Aman Ullah -- 5. Fully Nonparametric Bayesian Additive Regression Trees / Edward George, Prakash Laud, Brent Logan, Robert McCulloch and Rodney Sparapani -- 6. Bayesian A/B Inference / John Geweke -- 7. Scalable semiparametric inference for the means of heavy-tailed distributions / Hedibert Lopes, Matthew Taddy and Matthew Gardner -- 8. Estimation and Applications of Quantile Regression for Binary Longitudinal Data / Mohammad Arshad Rahman and Angela Vossmeyer -- 9. On Quantile Estimator in Volatility Model with Non-negative Error Density and Bayesian Perspective / Debajit Dutta, Subhra Sankar Dhar and Amit Mitra -- 10. Flexible Bayesian Quantile Regression in Ordinal Models / Mohammad Arshad Rahman and Shubham Karnawat -- 11. A Reaction / Dale Poirier. 
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650 0 |a Econometrics. 
650 0 |a Bayesian statistical decision theory. 
650 0 |a Stochastic analysis. 
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650 6 |a Théorie de la décision bayésienne. 
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700 1 |a Poirier, Dale J.,  |e honouree. 
700 1 |a Jeliazkov, Ivan,  |d 1973-  |e editor. 
700 1 |a Tobias, Justin L.,  |e editor. 
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830 0 |a Advances in econometrics ;  |v v. 40A.  |x 0731-9053 
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