39 citations · 97 across the 14 of their papers we have counts for
17 papers
Inference for concave distribution functions under measurement error
Mohammed Es-Salih Benjrada, Cecile Durot, Tommaso Lando
We propose an estimator of a concave cumulative distribution function under the measurement error model, where the non-negative variables of interest are perturbed by additive inde…
Harris recurrent Markov chains and nonlinear monotone cointegrated models
Patrice Bertail, Cécile Durot, Carlos Fernández
In this paper, we study a nonlinear cointegration-type model of the form \(Z_t = f_0(X_t) + W_t\) where \(f_0\) is a monotone function and \(X_t\) is a Harris recurrent Markov chai…
Unlinked monotone regression
Fadoua Balabdaoui, Charles R. Doss, Cécile Durot
We consider so-called univariate unlinked (sometimes ``decoupled,'' or ``shuffled'') regression when the unknown regression curve is monotone. In standard monotone regression, one…
Results on standard estimators in the Cox model
Cécile Durot, Eni Musta
We consider the Cox regression model and prove some properties of the maximum partial likelihood estimator and of the the Breslow estimator . The asymptotic properti…
On the -error of the Grenander-type estimator in the Cox model
Cécile Durot, Eni Musta
We consider the Cox regression model and study the asymptotic global behavior of the Grenander-type estimator for a monotone baseline hazard function. This model is not included in…
Removing the Curse of Superefficiency: an Effective Strategy For Distributed Computing in Isotonic Regression
Moulinath Banerjee, Cecile Durot
We propose a strategy for computing the isotonic least-squares estimate of a monotone function in a general regression setting where the data are distributed across different serve…