27 citations · 51 across the 12 of their papers we have counts for
12 papers
Wasserstein convergence in Bayesian and frequentist deconvolution models
Judith Rousseau, Catia Scricciolo
We study the multivariate deconvolution problem of recovering the distribution of a signal from independent and identically distributed observations additively contaminated with ra…
Wasserstein convergence in Bayesian deconvolution models
Judith Rousseau, Catia Scricciolo
We study the reknown deconvolution problem of recovering a distribution function from independent replicates (signal) additively contaminated with random errors (noise), whose dist…
On asymptotically efficient maximum likelihood estimation of linear functionals in Laplace measurement error models
Catia Scricciolo
Maximum likelihood estimation of linear functionals in the inverse problem of deconvolution is considered. Given observations of a random sample from a distribution $P_0\equiv P_{F…
Bayes and maximum likelihood for -Wasserstein deconvolution of Laplace mixtures
Catia Scricciolo
We consider the problem of recovering a distribution function on the real line from observations additively contaminated with errors following the standard Laplace distribution. As…
Sharp sup-norm Bayesian curve estimation
Catia Scricciolo
Sup-norm curve estimation is a fundamental statistical problem and, in principle, a premise for the construction of confidence bands for infinite-dimensional parameters. In a Bayes…
Effective-range signatures in quasi-1D matter waves: sound velocity and solitons
F. Sgarlata, G. Mazzarella, L. Salasnich
We investigate ultracold and dilute bosonic atoms under strong transverse harmonic confinement by using a 1D modified Gross-Pitaevskii equation (1D MGPE), which accounts for the en…