Under missing at random, we estimate the unknown link function and the direction parameter in a single index model. The central limit theory and the convergence rate of the law of the iterated logarithm for the estimator of the direction parameter are derived, the optimal convergence rate for the estimator of the link function is obtained and simulation results support the theoretical results of the paper. (C) 2010 Elsevier B.V. All rights reserved.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000276369000005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Statistics & ProbabilitySCI(E)9ARTICLE71671-169014
Aiming to explore the relation between the response y and the stochastic explanatory vector variable...
International audienceVariational methods are extremely popular in the analysis of network data. Sta...
We consider estimation and inference in a single index regression model with an unknown link functio...
An extended single-index model is considered when responses are missing at random. A three-step esti...
For censored response variable against projected co-variable, a generalized linear model with an unk...
In this paper, we generalize the single-index models to the scenarios with random effects. The intro...
In this paper, we study the estimation for a partial-linear single-index model. A two-stage estimati...
In this paper, a semiparametric single-index model is investigated. The link function is allowed to ...
The main objective of this work is to estimate, semi-parametrically, the mode of a conditional densi...
Estimation in two classes of popular models, single-index models and partially lin-ear single-index ...
AbstractThe censored single-index model provides a flexible way for modelling the association betwee...
AbstractConsider a varying-coefficient single-index model which consists of two parts: the linear pa...
In this article, we study semiparametric estimation for a single-index panel data model where the no...
In single-index models the link or response function is not considered as fixed. The data determine ...
AbstractIn this note, we revisit the single-index model with heteroscedastic error, and recommend an...
Aiming to explore the relation between the response y and the stochastic explanatory vector variable...
International audienceVariational methods are extremely popular in the analysis of network data. Sta...
We consider estimation and inference in a single index regression model with an unknown link functio...
An extended single-index model is considered when responses are missing at random. A three-step esti...
For censored response variable against projected co-variable, a generalized linear model with an unk...
In this paper, we generalize the single-index models to the scenarios with random effects. The intro...
In this paper, we study the estimation for a partial-linear single-index model. A two-stage estimati...
In this paper, a semiparametric single-index model is investigated. The link function is allowed to ...
The main objective of this work is to estimate, semi-parametrically, the mode of a conditional densi...
Estimation in two classes of popular models, single-index models and partially lin-ear single-index ...
AbstractThe censored single-index model provides a flexible way for modelling the association betwee...
AbstractConsider a varying-coefficient single-index model which consists of two parts: the linear pa...
In this article, we study semiparametric estimation for a single-index panel data model where the no...
In single-index models the link or response function is not considered as fixed. The data determine ...
AbstractIn this note, we revisit the single-index model with heteroscedastic error, and recommend an...
Aiming to explore the relation between the response y and the stochastic explanatory vector variable...
International audienceVariational methods are extremely popular in the analysis of network data. Sta...
We consider estimation and inference in a single index regression model with an unknown link functio...