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  • Search: subject:"Profiled Likelihood Ratio Statistic"
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Year of publication
Subject
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Finite mixtures 4 Parametric bootstrap 3 Profiled likelihood ratio statistic 3 Bootstrap approach 2 Bootstrap-Verfahren 2 Estimation theory 2 Finite Mixtures 2 Maximum likelihood estimation 2 Maximum-Likelihood-Schätzung 2 Parameter on the Boundary 2 Parametric Bootstrap 2 Partial Identification 2 Profiled Likelihood Ratio Statistic 2 Schätztheorie 2 Statistical distribution 2 Statistische Verteilung 2 Parameter on the boundary 1 Partial identification 1 parameter on the boundary 1 parametric bootstrap 1 partial identification 1 profiled likelihood ratio statistic 1
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Online availability
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Free 4 Undetermined 1
Type of publication
All
Book / Working Paper 4 Article 2
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Conference paper 1 Graue Literatur 1 Konferenzbeitrag 1 Non-commercial literature 1
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Language
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English 3 Undetermined 3
Author
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Chen, Xiaohong 6 Ponomareva, Maria 6 Tamer, Elie 4 Tamer, Elie T. 2
Institution
All
Centre for Microdata Methods and Practice (CEMMAP) 1 Cowles Foundation for Research in Economics, Yale University 1
Published in...
All
CEMMAP working papers / Centre for Microdata Methods and Practice 1 CeMMAP working papers 1 Cowles Foundation Discussion Papers 1 Journal of Econometrics 1 Journal of econometrics 1 cemmap working paper 1
Source
All
RePEc 3 ECONIS (ZBW) 2 EconStor 1
Showing 1 - 6 of 6
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Likelihood inference in some finite mixture models
Chen, Xiaohong; Ponomareva, Maria; Tamer, Elie - 2013
Parametric mixture models are commonly used in applied work, especially empiri- cal economics, where these models are often employed to learn for example about the proportions of various types in a given population. This paper examines the inference question on the proportions (mixing...
Persistent link: https://www.econbiz.de/10010318711
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Likelihood Inference in Some Finite Mixture Models
Chen, Xiaohong; Ponomareva, Maria; Tamer, Elie - Cowles Foundation for Research in Economics, Yale University - 2013
Parametric mixture models are commonly used in applied work, especially empirical economics, where these models are often employed to learn for example about the proportions of various types in a given population. This paper examines the inference question on the proportions (mixing probability)...
Persistent link: https://www.econbiz.de/10010686945
Saved in:
Cover Image
Likelihood inference in some finite mixture models
Chen, Xiaohong; Ponomareva, Maria; Tamer, Elie - Centre for Microdata Methods and Practice (CEMMAP) - 2013
Parametric mixture models are commonly used in applied work, especially empirical economics, where these models are often employed to learn for example about the proportions of various types in a given population. This paper examines the inference question on the proportions (mixing probability)...
Persistent link: https://www.econbiz.de/10010660011
Saved in:
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Likelihood inference in some finite mixture models
Chen, Xiaohong; Ponomareva, Maria; Tamer, Elie T. - 2013 - Current version May 6, 2013
Parametric mixture models are commonly used in applied work, especially empiri- cal economics, where these models are often employed to learn for example about the proportions of various types in a given population. This paper examines the inference question on the proportions (mixing...
Persistent link: https://www.econbiz.de/10009742927
Saved in:
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Likelihood inference in some finite mixture models
Chen, Xiaohong; Ponomareva, Maria; Tamer, Elie - In: Journal of Econometrics 182 (2014) 1, pp. 87-99
Parametric mixture models are commonly used in applied work, especially empirical economics, where these models are often employed to learn for example about the proportions of various types in a given population. This paper examines the inference question on the proportions (mixing probability)...
Persistent link: https://www.econbiz.de/10010785281
Saved in:
Cover Image
Likelihood inference in some finite mixture models
Chen, Xiaohong; Ponomareva, Maria; Tamer, Elie T. - In: Journal of econometrics 182 (2014) 1, pp. 87-99
Persistent link: https://www.econbiz.de/10010497117
Saved in:
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