28 datasets found

Consider the standard Gaussian linear regression model $Y=X\theta+\epsilon$, where $Y\in R^n$ is a response vector and $ X\in R^{n*p}$ is a design matrix. Numerous...

The problem of adaptive estimation of the regression function f from noisy observations is concerned. A confidence interval for the L_2-error for wavelet adaptive...

The problem of adaptive estimation of the regression function f from noisy observation is concerned. A wavelet adaptive estimator of unknown function with the...

International audience

International audience

We estimate convex polytopes and general convex sets in $\mathbb R^d,d\geq 2$ in the regression framework. We measure the risk of our estimators using a $L^1$-type...

International audience

International audience

A method is introduced to estimate the number of significant coefficients in non ordered model selection problems. The method is based on a convenient random centering...

International audience

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 $X$...

International audience

In this thesis, we want to adapt model selection technics to<br />the problem of estimating the intensity of point processes. More precisely, we<br />want...

We construct efficient robust truncated sequential estimators for the pointwise estimation problem in nonparametric autoregression models with smooth coefficients. For...

International audience

International audience

We introduce a new method to reconstruct the density matrix $\rho$ of a system of $n$-qubits and estimate its rank $d$ from data obtained by quantum state tomography...

When dealing with classical spike train analysis, the practitioner often performs goodness-of-fit tests to test whether the observed process is a Poisson process, for...

International audience

Oral Session