Adaptive distributed methods under communication constraints Page 1 The Annals of Statistics
2020, Vol. 48, No. 4, 2347–2380 https://doi.org/10.1214/19-AOS1890 © Institute of Mathematical …

Optimal high-dimensional and nonparametric distributed testing under communication
constraints Page 1 The Annals of Statistics 2023, Vol. 51, No. 3, 909–934 https://doi.org/10.1214/23-AOS2269 …

Adaptive estimation in the linear random coefficients model when regressors have limited
variation Page 1 Bernoulli 28(1), 2022, 504–524 https://doi.org/10.3150/21-BEJ1354 Adaptive …

This paper deals with the problem of estimating a regression function f, in a random design
framework. We build and study two adaptive estimators based on model selection, applied …

We consider the problem of estimating the conditional density π of a response vector Y
given the predictor X (which is assumed to be a continuous variable). We provide an …

We consider the nonparametric kernel estimation of the conditional cumulative distribution
function given a functional covariate. Given the bias-variance trade-off of the risk, we first …

We consider the non-parametric Poisson regression problem where the integer valued
response Y is the realization of a Poisson random variable with parameter λ (X). The aim is …

We prove oracle inequalities for a penalized log-likelihood criterion that hold even if the data
are not independent and not stationary, based on a martingale approach. The assumptions …

In this work, we develop a method of adaptive non‐parametric estimation, based on
'warped'kernels. The aim is to estimate a real‐valued function s from a sample of random …

We consider a model Yt= σtηt in which (σt) is not independent of the noise process (ηt) but σt
is independent of ηt for each t. We assume that (σt) is stationary, and we propose an …