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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...
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07/26/2023
Learning the regularity of multivariate functional data
Combining information both within and between sample realizations, we pr...
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06/28/2023
Adaptive functional principal components analysis
Functional data analysis (FDA) almost always involves smoothing discrete...
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03/18/2022
Statistical analysis of a hierarchical clustering algorithm with outliers
It is well known that the classical single linkage algorithm usually fai...
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01/08/2022
Optimal 1-Wasserstein Distance for WGANs
The mathematical forces at work behind Generative Adversarial Networks r...
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12/06/2021
Minimax properties of Dirichlet kernel density estimators
This paper is concerned with the asymptotic behavior in β-Hölder spaces ...
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08/14/2021
Adaptive optimal estimation of irregular mean and covariance functions
We propose straightforward nonparametric estimators for the mean and the...
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12/10/2020
Clustering multivariate functional data using unsupervised binary trees
We propose a model-based clustering algorithm for a general class of fun...
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09/08/2020
Learning the smoothness of noisy curves with application to online curve estimation
Combining information both within and across trajectories, we propose a ...
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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...
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07/25/2019
Adaptive regression with Brownian path covariate
This paper deals with estimation with functional covariates. More precis...
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10/25/2018