activity
20202023
most citedMultiplicative deconvolution estimator based on a ridge approach

2 citations · 4 across the 6 of their papers we have counts for

collaborators

7 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

Volatility density estimation by multiplicative deconvolution

Sergio Brenner Miguel

We study the non-parametric estimation of an unknown stationary density fV of an unobserved strictly stationary volatility process on $\IRp^2 := (0,\infty)^2$…

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★ 2 cited

Multiplicative deconvolution estimator based on a ridge approach

Sergio Brenner Miguel

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.ST2021

Anisotropic spectral cut-off estimation under multiplicative measurement errors

Sergio Brenner Miguel

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

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★ 1 cited

Data-driven aggregation in non-parametric density estimation on the real line

Sergio Brenner Miguel, Jan Johannes

We study non-parametric estimation of an unknown density with support in R (respectively R+). The proposed estimation procedure is based on the projection on finite dimensional sub…