activity
20072023
most citedDeconvolution with unknown error distribution

72 citations · 302 across the 24 of their papers we have counts for

collaborators

27 papers

math.ST2023★ 1 cited

Multiplicative deconvolution under unknown error distribution

Sergio Brenner Miguel, Jan Johannes, Maximilian Siebel

We consider a multiplicative deconvolution problem, in which the density or the survival function of a strictly positive random variable is estimated nonparametricall…

math.ST2022

Adaptive pointwise density estimation under local differential privacy

Sandra Schluttenhofer, Jan Johannes

We consider the estimation of a density at a fixed point under a local differential privacy constraint, where the observations are anonymised before being available for statistical…

math.ST2021

Linear functional estimation under multiplicative measurement errors

Sergio Brenner Miguel, Fabienne Comte, Jan Johannes

We study the non-parametric estimation of the value of a linear functional evaluated at an unknown density function f with support on based on an i.i.d. sample with m…

math.ST2021

Data-driven aggregation in circular deconvolution

Jan Johannes, Xavier Loizeau

In a circular deconvolution model we consider the fully data driven density estimation of a circular random variable where the density of the additive independent measurement error…

math.ST2020

Spectral cut-off regularisation for density estimation under multiplicative measurement errors

Sergio Brenner Miguel, Fabienne Comte, Jan Johannes

We study the non-parametric estimation of an unknown density f with support on R+ based on an i.i.d. sample with multiplicative measurement errors. The proposed fully data driven p…

math.ST2020

Adaptive minimax testing for circular convolution

Sandra Schluttenhofer, Jan Johannes

Given observations from a circular random variable contaminated by an additive measurement error, we consider the problem of minimax optimal goodness-of-fit testing in a non-asympt…