For censored response variable against projected co-variable, a generalized linear model with an unknown link function can cover almost all existing models under censorship. Its special cases include the accelerated failure time model with censored data. Such a model in the uncensored case is called the single-index model in econometrics. In this paper, we systematically study the asymptotic properties. We derive the central limit theorem and the law of the iterated logarithm for an estimator of the direction parameter. We also obtain the optimal convergence rate of an estimator of the unknown link function in the model.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:0002458555...
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[[abstract]]This paper proposes a method for estimation of a class of partially linear single-index ...
For regression analysis, some useful information may have been lost when the responses are right cen...
International audienceIn this article, we propose some new generalizations of M-estimation procedure...
Let (X, Y) be a random vector, where Y denotes the variable of interest, possibly subject to random ...
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We consider estimation and inference in a single index regression model with an unknown link functio...
We study issues that arise for estimation of a linear model when a regressor is censored. We discuss...
The typical generalized linear model for a regression of a response Y on predictors (X, Z) has condi...
The paper introduces an estimator for the linear censored quantile regression model when the censori...
AbstractThe censored single-index model provides a flexible way for modelling the association betwee...
Consider a partial linear model Y-i = X(i)beta + g(T-i)+e(i). Here g is an unknown smooth function o...
Under missing at random, we estimate the unknown link function and the direction parameter in a sing...
AbstractKoul, Susarla and Van Ryzin (1981, Ann. Statist. 9, 1276-1288) proposed a generalization of ...
AbstractThis paper proposes a method for estimation of a class of partially linear single-index mode...
[[abstract]]This paper proposes a method for estimation of a class of partially linear single-index ...
For regression analysis, some useful information may have been lost when the responses are right cen...
International audienceIn this article, we propose some new generalizations of M-estimation procedure...
Let (X, Y) be a random vector, where Y denotes the variable of interest, possibly subject to random ...
In this paper, we define the generalized linear models (GLM) based on the observed data with incompl...
In this paper, we study the estimation for a partial-linear single-index model. A two-stage estimati...
We consider estimation and inference in a single index regression model with an unknown link functio...
We study issues that arise for estimation of a linear model when a regressor is censored. We discuss...
The typical generalized linear model for a regression of a response Y on predictors (X, Z) has condi...
The paper introduces an estimator for the linear censored quantile regression model when the censori...