Claire Lacour

发表

Uniform Deconvolution for Poisson Point Processes

Franck Picard, Vincent Rivoirard, Anna Bonnet, 2020 .

Estimator Selection: a New Method with Applications to Kernel Density Estimation

Pascal Massart, CEREMADE, Claire Lacour, 2016, Sankhya A.

Minimax Adaptive Estimation of Nonparametric Hidden Markov Models

Yohann de Castro, Elisabeth Gassiat, Claire Lacour, 2015, J. Mach. Learn. Res..

Semiparametric inference for mixtures of circular data

Claire Lacour, Thanh Mai Pham Ngoc, 2021 .

Three rates of convergence or separation via U-statistics in a dependent framework

Claire Lacour, Quentin Duchemin, Yohann De Castro, 2021 .

Data driven density estimation in presence of unknown convolution operator

Claire Lacour, Fabienne Comte, F. Comte, 2011 .

Minimal penalty for Goldenshluger-Lepski method

Pascal Massart, Claire Lacour, P. Massart, 2015, 1503.00946.

Nonparametric estimation of the stationary density and the transition density of a Markov chain

Claire Lacour, C. Lacour, 2006, math/0611645.

Data‐driven density estimation in the presence of additive noise with unknown distribution

Claire Lacour, Fabienne Comte, F. Comte, 2011 .

Minimax Adaptive Estimation of Nonparametric Geometric Graphs

Claire Lacour, Thanh Mai Pham Ngoc, Yohann De Castro, 2017 .

Adaptive estimation of the transition density of a particular hidden Markov chain

Claire Lacour, C. Lacour, 2006, math/0611681.

Adaptive pointwise estimation of conditional density function

Vincent Rivoirard, Claire Lacour, Karine Bertin, 2013, 1312.7402.

Adaptive estimation of the transition density of a Markov chain

Claire Lacour, C. Lacour, 2006, math/0611680.