NIELS RICHARD HANSEN, PATRICIA REYNAUD-BOURET and VINCENT RIVOIRARD Department of Mathematical Sciences, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen, Denmark. E-mail:â€¦ (More)

Frequentist properties of Bayesian nonparametric procedures have been increasingly studied in the last decade, following the seminal papers of Barron et al. [1] and Ghosal et al. [8] whichâ€¦ (More)

Sparse linear inverse problems appear in a variety of settings, but often the noise contaminating observations cannot accurately be described as bounded by or arising from a Gaussian distribution.â€¦ (More)

This paper deals with the classical problem of density estimation on the real line. Most of the existing papers devoted to minimax properties assume that the support of the underlying density isâ€¦ (More)

We consider the problem of estimating the division rate of a size-structured population in a nonparametric setting. The size of the system evolves according to a transport-fragmentation equation:â€¦ (More)

In this paper our aim is to provide tools for easily calculating the maxisets of several procedures. Then we apply these results to perform a comparison between several Bayesian estimators in a nonâ€¦ (More)

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 instance, or if it obeys anotherâ€¦ (More)

We use Hawkes processes as models for spike trains analysis. A new Lasso method designed for general multivariate counting processes [1] enables us to estimate the functional connectivity graphâ€¦ (More)