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.
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
United Kingdom :
Emerald Publishing,
2019.
|
| Edition: | First edition. |
| Series: | Advances in econometrics ;
v. 40A. |
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | 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. |
| Item Description: | "Intended to honor the scholarship of ... Professor Dale J. Poirier"--Page vii |
| Physical Description: | 1 online resource (331 pages) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781789732412 1789732417 9781789732436 1789732433 9781789732429 1789732425 |
| ISSN: | 0731-9053 ; |
Staff View
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| 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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| contents | 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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| discipline | Wirtschaftswissenschaften |
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| series2 | Advances in econometrics, |
| spelling | Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : Part A / edited by Ivan Jeliazkov, University of California, USA Justin L. Tobias, Purdue University, USA. First edition. United Kingdom : Emerald Publishing, 2019. ©2019 1 online resource (331 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Advances in econometrics, 0731-9053 ; volume 40A 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. Includes bibliographical references and index. "Intended to honor the scholarship of ... Professor Dale J. Poirier"--Page vii 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. Online resource; title from digital title page (viewed on November 04, 2019). Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Stochastic analysis. http://id.loc.gov/authorities/subjects/sh85128175 Économétrie. Théorie de la décision bayésienne. Analyse stochastique. Econometrics. bicssc Business & Economics Econometrics. bisacsh Bayesian statistical decision theory fast Econometrics fast Stochastic analysis fast Poirier, Dale J., honouree. Jeliazkov, Ivan, 1973- editor. https://id.oclc.org/worldcat/entity/E39PCjGRQB3wwrfVj7WbwQ4hjK http://id.loc.gov/authorities/names/n2014019003 Tobias, Justin L., editor. has work: Part B Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modelling (Text) https://id.oclc.org/worldcat/entity/E39PCFJTtgbXjthBv4jjmDBHG3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Jeliazkov, Ivan. Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modelling. Bingley : Emerald Publishing Limited, 2019 9781789732436 Advances in econometrics ; v. 40A. 0731-9053 http://id.loc.gov/authorities/names/no98010995 |
| spellingShingle | Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : Part A / Advances in econometrics ; 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. Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Stochastic analysis. http://id.loc.gov/authorities/subjects/sh85128175 Économétrie. Théorie de la décision bayésienne. Analyse stochastique. Econometrics. bicssc Business & Economics Econometrics. bisacsh Bayesian statistical decision theory fast Econometrics fast Stochastic analysis fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85040763 http://id.loc.gov/authorities/subjects/sh85012506 http://id.loc.gov/authorities/subjects/sh85128175 |
| title | Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : Part A / |
| title_auth | Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : Part A / |
| title_exact_search | Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : Part A / |
| title_full | Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : Part A / edited by Ivan Jeliazkov, University of California, USA Justin L. Tobias, Purdue University, USA. |
| title_fullStr | Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : Part A / edited by Ivan Jeliazkov, University of California, USA Justin L. Tobias, Purdue University, USA. |
| title_full_unstemmed | Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : Part A / edited by Ivan Jeliazkov, University of California, USA Justin L. Tobias, Purdue University, USA. |
| title_short | Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : |
| title_sort | topics in identification limited dependent variables partial observability experimentation and flexible modeling part a |
| title_sub | Part A / |
| topic | Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Stochastic analysis. http://id.loc.gov/authorities/subjects/sh85128175 Économétrie. Théorie de la décision bayésienne. Analyse stochastique. Econometrics. bicssc Business & Economics Econometrics. bisacsh Bayesian statistical decision theory fast Econometrics fast Stochastic analysis fast |
| topic_facet | Econometrics. Bayesian statistical decision theory. Stochastic analysis. Économétrie. Théorie de la décision bayésienne. Analyse stochastique. Business & Economics Econometrics. Bayesian statistical decision theory Econometrics Stochastic analysis |
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