Add to ORKGI am also organizing a session on Risk Analysis in the Biomedical and Environmental FieldInternational audienceTwo very active areas of statistical research are non-parametric function estimation and analysis of censored survival data.A minimax asymptotic rate of convergence for the estimation of a hazard is obtained, in the presence of random right censoring using the link between the Kullback–Leibler distance of two probabilities and a weighted Lp-type distance between their corresponding hazards
This paper considers the estimator of the hazard function with censored data due to Diehl and Stute ...
In the literature much work has been devoted to the non-parametric estimation of survival analysis f...
Consider a regression model in which the responses are subject to random right censoring. In this mo...
Abstract: The minimax global asymptotic rate of convergence for the estimation of a hazard function ...
The paper deals with two classes of unbiased non-parametric estimators of survival and cumulative h...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
AbstractThis paper deals with estimation of life expectancy used in survival analysis and competing ...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
Let (X, Y) be a random vector, where Y denotes the variable of interest, possibly subject to random ...
Abstract. In this article, we analyse right censored survival data by modelling their common hazard ...
This paper considers the estimator of the hazard function with censored data due to Diehl and Stute ...
International audienceWe consider the classic supervised learning problem where a continuous non-neg...
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
PolyU Library Call No.: [THS] LG51 .H577P AMA 2016 Haoxx, 164 pages :color illustrationsCensored dat...
We study an estimator of the survival function under the random censoring model. Bahadur-type repres...
This paper considers the estimator of the hazard function with censored data due to Diehl and Stute ...
In the literature much work has been devoted to the non-parametric estimation of survival analysis f...
Consider a regression model in which the responses are subject to random right censoring. In this mo...
Abstract: The minimax global asymptotic rate of convergence for the estimation of a hazard function ...
The paper deals with two classes of unbiased non-parametric estimators of survival and cumulative h...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
AbstractThis paper deals with estimation of life expectancy used in survival analysis and competing ...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
Let (X, Y) be a random vector, where Y denotes the variable of interest, possibly subject to random ...
Abstract. In this article, we analyse right censored survival data by modelling their common hazard ...
This paper considers the estimator of the hazard function with censored data due to Diehl and Stute ...
International audienceWe consider the classic supervised learning problem where a continuous non-neg...
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
PolyU Library Call No.: [THS] LG51 .H577P AMA 2016 Haoxx, 164 pages :color illustrationsCensored dat...
We study an estimator of the survival function under the random censoring model. Bahadur-type repres...
This paper considers the estimator of the hazard function with censored data due to Diehl and Stute ...
In the literature much work has been devoted to the non-parametric estimation of survival analysis f...
Consider a regression model in which the responses are subject to random right censoring. In this mo...