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  • Search: subject:"nonparametric regression estimator"
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Year of publication
Subject
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62G07 secondary 1 62G20 Strong convergence Truncated data [alpha]-mixing sequence Nonparametric regression estimator 1 Asymptotic results 1 Sobolev norm 1 bracketing method 1 empirical process 1 kernel estimator 1 nonparametric density estimator 1 nonparametric regression estimator 1 primary 1 semiparametric estimator 1 semiparametric test 1 series expansion 1 stochastic equicontinuity 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Language
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English 1 Undetermined 1
Author
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Andrews, Donald W.K. 1 Li, Deli 1 Liang, Han-Ying 1 Qi, Yongcheng 1
Institution
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Cowles Foundation for Research in Economics, Yale University 1
Published in...
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Cowles Foundation Discussion Papers 1 Journal of Multivariate Analysis 1
Source
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RePEc 2
Showing 1 - 2 of 2
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Strong convergence in nonparametric regression with truncated dependent data
Liang, Han-Ying; Li, Deli; Qi, Yongcheng - In: Journal of Multivariate Analysis 100 (2009) 1, pp. 162-174
In this paper we derive rates of uniform strong convergence for the kernel estimator of the regression function in a left-truncation model. It is assumed that the lifetime observations with multivariate covariates form a stationary [alpha]-mixing sequence. The estimation of the covariate's...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005152753
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Asymptotics for Semiparametric Econometric Models: II. Stochastic Equicontinuity and Nonparametric Kernel Estimation
Andrews, Donald W.K. - Cowles Foundation for Research in Economics, Yale University - 1989
This paper presents several stochastic equicontinuity results that are useful for establishing the asymptotic properties of estimators and tests in parametric, semiparametric, and nonparametric econometric models. In particular, they can be applied straightforwardly in the estimation and testing...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005762563
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