66 citations · 80 across the 3 of their papers we have counts for
4 papers · 1 filter
Nonparametric estimation of covariance functions by model selection
Jérémie Bigot, Rolando Biscay, Jean-Michel Loubes +1
We propose a model selection approach for covariance estimation of a multi-dimensional stochastic process. Under very general assumptions, observing i.i.d replications of the proce…
Adaptive complexity regularization for linear inverse problems
Jean-Michel Loubes, Carenne Ludeña
We tackle the problem of building adaptive estimation procedures for ill-posed inverse problems. For general regularization methods depending on tuning parameters, we construct a p…
Semi-parametric estimation of shifts
Fabrice Gamboa, Jean-Michel Loubes, Elie Maza
We observe a large number of functions differing from each other only by a translation parameter. While the main pattern is unknown, we propose to estimate the shift parameters usi…
penalty for ill-posed inverse problems
J. M. Loubes
We tackle the problem of recovering an unknown signal observed in an ill-posed inverse problem framework. More precisely, we study a procedure commonly used in numerical analysis o…