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Minimax testing of a composite null hypothesis defined via a quadratic functi...
International audience -
On a nonparametric resampling scheme for Markov random fields
International audience -
Tight conditions for consistency of variable selection in the context of high...
International audience -
Nonparametric Estimation for Functional Data by Wavelet Thresholding
This paper deals with density and regression estimation problems for functional data. Using wavelet bases for Hilbert spaces of functions, we develop a new adaptive... -
Iterative isotonic regression
This thesis is part of non parametric univariate regression. Assume that the regression function is of bounded variation then the Jordan’s decomposition ensures that... -
Adaptive wavelet estimation of the diffusion coefficient under additive error...
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Model selection and smoothing of mean and variance functions in nonparametric...
In this paper we propose a new multivariate nonparametric heteroscedastic regression procedure in the framework of smoothing spline analysis of variance (SS-ANOVA).... -
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
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On the adaptive wavelet estimation of a multidimensional regression function ...
We investigate the estimation of a multidimensional regression function $f$ from $n$ observations of a $\alpha$-mixing process $(Y,X)$ with $Y=f(X)+\xi$, where $X$... -
Optimal model selection in heteroscedastic regression using piecewise polynom...
We consider the estimation of a regression function with random design and heteroscedastic noise in a nonparametric setting. More precisely, we address the problem of... -
Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study
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Learning near-optimal policies with Bellman-residual minimization based fitte...
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On the adaptive estimation of a multiplicative separable regression function
We investigate the estimation of a multiplicative separable regression function from a bi-dimensional nonparametric regression model with random design. We present a... -
Polynomial approximation by means of the random discrete L2 projection and ap...
The main topic of this thesis concerns the polynomial approximation of aleatory functions by means of the random discrete L2 projection, and its application to inverse... -
Water quality assessment by means of HFNI valvometry and high-frequency data ...
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Functional modeling of speed profiles adapted to the infrastructure and metho...
The knowledge of the actual vehicle speeds is an essential characteristic of drivers behavior and their road usage. This information become available with the... -
A note on wavelet estimation of the derivatives of a regression function in a...
We investigate the estimation of the derivatives of a regression function in the nonparametric regression model with random design. New wavelet estimators are...
