3 papers
math.ST2024
Deconvolution of repeated measurements corrupted by unknown noise
Jérémie Capitao-Miniconi, Elisabeth Gassiat, Luc Lehéricy
Recent advances have demonstrated the possibility of solving the deconvolution problem without prior knowledge of the noise distribution. In this paper, we study the repeated measu…
math.ST2023
Support and distribution inference from noisy data
Jérémie Capitao-Miniconi, Elisabeth Gassiat, Luc Lehéricy
We consider noisy observations of a distribution with unknown support. In the deconvolution model, it has been proved recently [19] that, under very mild assumptions, it is possibl…
math.ST2022
Deconvolution of spherical data corrupted with unknown noise
Jérémie Capitao-Miniconi, Elisabeth Gassiat
We consider the deconvolution problem for densities supported on a -dimensional sphere with unknown center and unknown radius, in the situation where the distribution of the…