4 citations · 4 across the 5 of their papers we have counts for
8 papers
Adaptive Density Estimation Using Projection Kernels and Penalized Comparison to Overfitting
Van Ha Hoang, Tien Dat Nguyen, Thi Mong Ngoc Nguyen
In this work, we study wavelet projection estimators for density estimation, based on compactly supported -regular scaling functions. The main issue is the choice of th…
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…
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
Binh H. Ho, Long Nguyen Chi, TrungTin Nguyen +3
Model-based clustering integrated with variable selection is a powerful tool for uncovering latent structures within complex data. However, its effectiveness is often hindered by c…
Functional Mixtures-of-Experts
Faïcel Chamroukhi, Nhat Thien Pham, Van Hà Hoang +1
We consider the statistical analysis of heterogeneous data for prediction in situations where the observations include functions, typically time series. We extend the modeling with…
Adaptive nonparametric estimation of a component density in a two-class mixture model
Gaelle Chagny, Antoine Channarond, Van Ha Hoang +1
A two-class mixture model, where the density of one of the components is known, is considered. We address the issue of the nonparametric adaptive estimation of the unknown probabil…
Nonparametric estimation of the fragmentation kernel based on a PDE stationary distribution approximation
Van Ha Hoang, Thanh Mai Pham Ngoc, Vincent Rivoirard +1
We consider a stochastic individual-based model in continuous time to describe a size-structured population for cell divisions. This model is motivated by the detection of cellular…
Adaptive wavelet multivariate regression with errors in variables
Michaël Chichignoud, Van Ha Hoang, Thanh Mai Pham Ngoc +1
In the multidimensional setting, we consider the errors-in-variables model. We aim at estimating the unknown nonparametric multivariate regression function with errors in the covar…
Estimating the Division Kernel of a Size-Structured Population
Van Ha Hoang
We consider a size-structured population describing the cell divisions. The cell population is described by an empirical measure and we observe the divisions in the continuous time…