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Optimal cross-validation in density estimation
The performance of cross-validation (CV) is analyzed in two contexts: (i) risk estimation and (ii) model selection in the density estimation framework. The main focus... -
Some Rates of Convergence for the Selected Lasso Estimator
International audience -
Maximum Likelihood Estimation in Poisson Regression via Wavelet Model Selection
In this work we estimate the regression function for Poisson variables, for a deterministic design in $[0,1]$. Our final estimator, which is adaptive to the data, is... -
On false discovery rate thresholding for classification under sparsity
International audience -
ESTIMATION OF THE DENSITY OF A DETERMINANTAL PROCESS
International audience -
Cox process functional learning
International audience -
Multi-task statistical learning
This thesis aims at constructing, calibrating and studying multi-task estimators, in a frequentist non-parametric and non-asymptotic framework. We consider here kernel...
