36 citations · 163 across the 33 of their papers we have counts for
4 papers · 1 filter
Adaptive estimation of spectral densities via wavelet thresholding and information projection
Jérémie Bigot, Rolando Biscay Lirio, Jean-Michel Loubes +1
In this paper, we study the problem of adaptive estimation of the spectral density of a stationary Gaussian process. For this purpose, we consider a wavelet-based method which comb…
Sharp template estimation in a shifted curves model
Jérémie Bigot, Sébastien Gadat, Clément Marteau
This paper considers the problem of adaptive estimation of a template in a randomly shifted curve model. Using the Fourier transform of the data, we show that this problem can be t…
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…
On the usefulness of Meyer wavelets for deconvolution and density estimation
Jeremie Bigot
The aim of this paper is to show the usefulness of Meyer wavelets for the classical problem of density estimation and for density deconvolution from noisy observations. By using su…