Add to ORKGAbstract: The minimax global asymptotic rate of convergence for the estimation of a hazard function in the presence of random right censoring is obtained using the link which relates the Kullback distance between two probability measures with an Lp-type distance between their corresponding hazards
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 ...
Abstract—Lower bounds involving -divergences between the underlying probability measures are proved ...
I am also organizing a session on Risk Analysis in the Biomedical and Environmental FieldInternation...
Here we study the problems of local asymptotic normality of the parametric family of distributions a...
Here we study the problems of local asymptotic normality of the parametric family of distributions a...
The nonparametric minimax estimation of an analytic density at a given point, under random censorshi...
The nonparametric minimax estimation of an analytic density at a given point under random censorshi...
The problem of the nonparametric minimax estimation of an infinitely smooth density at a given point...
This paper considers the estimator of the hazard function with censored data due to Diehl and Stute ...
The asymptotic behaviour of the minimax risk can be used as a measure of how 'hard' an estimation pr...
Let (X, Y) be a random vector, where Y denotes the variable of interest, possibly subject to random ...
The nonparametric minimax estimation of an analytic density at a given point, under random censorshi...
Let X be the variable of interest with distribution function F, hazard function $\lambda$ and Y be a...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
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 ...
Abstract—Lower bounds involving -divergences between the underlying probability measures are proved ...
I am also organizing a session on Risk Analysis in the Biomedical and Environmental FieldInternation...
Here we study the problems of local asymptotic normality of the parametric family of distributions a...
Here we study the problems of local asymptotic normality of the parametric family of distributions a...
The nonparametric minimax estimation of an analytic density at a given point, under random censorshi...
The nonparametric minimax estimation of an analytic density at a given point under random censorshi...
The problem of the nonparametric minimax estimation of an infinitely smooth density at a given point...
This paper considers the estimator of the hazard function with censored data due to Diehl and Stute ...
The asymptotic behaviour of the minimax risk can be used as a measure of how 'hard' an estimation pr...
Let (X, Y) be a random vector, where Y denotes the variable of interest, possibly subject to random ...
The nonparametric minimax estimation of an analytic density at a given point, under random censorshi...
Let X be the variable of interest with distribution function F, hazard function $\lambda$ and Y be a...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
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 ...
Abstract—Lower bounds involving -divergences between the underlying probability measures are proved ...