5 papers
Adaptive estimation for nonparametric circular regression with errors in variables
Tien Dat Nguyen, Thanh Mai Pham Ngoc
This paper investigates the nonparametric estimation of a circular regression function in an errors-in-variables framework. Two settings are studied, depending on whether the covar…
Goodness-of-fit testing for the stationary density of a size-structured PDE
Van Ha Hoang, Phu Thanh Nguyen, Thanh Mai Pham Ngoc +2
We consider two division models for structured cell populations, where cells can grow, age and divide. These models have been introduced in the literature under the denomination of…
Statistical deconvolution of the free Fokker-Planck equation at fixed time
Mylène Maïda, Tien Dat Nguyen, Thanh Mai Pham Ngoc +2
We are interested in reconstructing the initial condition of a non-linear partial differential equation (PDE), namely the Fokker-Planck equation, from the observation of a Dyson Br…
Adaptive optimal kernel density estimation for directional data
Thanh Mai Pham Ngoc
We focus on the nonparametric density estimation problem with directional data. We propose a new rule for bandwidth selection for kernel density estimation. Our procedure is automa…
Regression in random design and Bayesian warped wavelets estimators
Thanh Mai Pham Ngoc
In this paper we deal with the regression problem in a random design setting. We investigate asymptotic optimality under minimax point of view of various Bayesian rules based on wa…