63 citations · 202 across the 16 of their papers we have counts for
19 papers
Nonparametric optimal density estimation for censored circular data
Nicolas Conanec, Claire Lacour, Thanh Mai Pham Ngoc
We consider the problem of estimating the probability density function of a circular random variable observed under censoring. To this end, we introduce a projection estimator cons…
Is model selection possible for the -loss? PCO estimation for regression models
Claire Lacour, Pascal Massart, Vincent Rivoirard
This paper addresses the problem of model selection in the sequence model , when is sub-Gaussian, for non-euclidian loss-functions. In this model, the Penaliz…
Adaptive greedy algorithm for moderately large dimensions in kernel conditional density estimation
Minh-Lien Jeanne Nguyen, Claire Lacour, Vincent Rivoirard
This paper studies the estimation of the conditional density f (x, ) of Y i given X i = x, from the observation of an i.i.d. sample (X i , Y i) R d , i = 1,. .. , n.…
Three rates of convergence or separation via U-statistics in a dependent framework
Quentin Duchemin, Yohann De Castro, Claire Lacour
Despite the ubiquity of U-statistics in modern Probability and Statistics, their non-asymptotic analysis in a dependent framework may have been overlooked. In a recent work, a new…
Semiparametric inference for mixtures of circular data
Claire Lacour, Thanh Mai Pham Ngoc
We consider X 1 ,. .. , X n a sample of data on the circle S 1 , whose distribution is a twocomponent mixture. Denoting R and Q two rotations on S 1 , the density of the X i 's is…
Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains
Quentin Duchemin, Yohann de Castro, Claire Lacour
We prove a new concentration inequality for U-statistics of order two for uniformly ergodic Markov chains. Working with bounded and -canonical kernels, we show that we can recov…