research
∙
08/02/2023
A new adaptive local polynomial density estimation procedure on complicated domains
This paper presents a novel approach for pointwise estimation of multiva...
share
research
∙
12/06/2021
Minimax properties of Dirichlet kernel density estimators
This paper is concerned with the asymptotic behavior in β-Hölder spaces ...
research
∙
10/06/2021
Least square estimators in linear regression models under negatively superadditive dependent random observations
In this article we study the asymptotic behaviour of the least square es...
research
∙
03/11/2020
Adaptive estimation of the stationary density of a stochastic differential equation driven by a fractional Brownian motion
We build and study a data-driven procedure for the estimation of the sta...
research
∙
07/25/2019
Adaptive regression with Brownian path covariate
This paper deals with estimation with functional covariates. More precis...
research
∙
05/02/2019
High dimensional VAR with low rank transition
We propose a vector auto-regressive (VAR) model with a low-rank constrai...
research
∙
10/25/2018
