activity
20152024
most citedS-estimation in Linear Models with Structured Covariance Matrices

1 citations · 1 across the 3 of their papers we have counts for

collaborators

8 papers

math.ST2024

Asymptotics of estimators for structured covariance matrices

Hendrik Paul Lopuhaä

We show that the limiting variance of a sequence of estimators for a structured covariance matrix has a general form that appears as the variance of a scaled projection of a random…

math.ST2022★ 1 cited

S-estimation in Linear Models with Structured Covariance Matrices

Hendrik Paul Lopuhaä, Valerie Gares, Anne Ruiz-Gazen

We provide a unified approach to S-estimation in balanced linear models with structured covariance matrices. Of main interest are S-estimators for linear mixed effects models, but…

math.ST2017

The distance between a naive cumulative estimator and its least concave majorant

Hendrik P. Lopuhaä, Eni Musta

We consider the process , where is a cadlag step estimator for the primitive of a nonincreasing function on , and is the least c…

math.ST2016

A central limit theorem for the Hellinger loss of Grenander type estimators

Hendrik P. Lopuhaä, Eni Musta

We consider Grenander type estimators for a monotone function , obtained as the slope of a concave (convex) estimate of the primitive of . Our main result…

math.ST2016

Isotonized smooth estimators of a monotone baseline hazard in the Cox model

Hendrik P. Lopuhaä, Eni Musta

We consider two isotonic smooth estimators for a monotone baseline hazard in the Cox model, a maximum smooth likelihood estimator and a Grenander-type estimator based on the smooth…

math.ST2016

Smoothed isotonic estimators of a monotone baseline hazard in the Cox model

Hendrik P. Lopuhaä, Eni Musta

We consider the smoothed maximum likelihood estimator and the smoothed Grenander-type estimator for a monotone baseline hazard rate in the Cox model. We analyze their asympto…