2 citations · 4 across the 5 of their papers we have counts for
5 papers
Statistical Inference via T-Posterior Randomised Estimators
Yannick Baraud, Gabriel Romon
Given a statistical model, we propose a novel estimation method that yields randomised estimators for the unknown distribution of an observed random variable. We establish non-asym…
Convex generalized Fréchet means in a metric tree
Gabriel Romon, Victor-Emmanuel Brunel
We are interested in measures of central tendency for a population on a network, which is modeled by a metric tree. The location parameters that we study are generalized Fréche…
Statistical properties of approximate geometric quantiles in infinite-dimensional Banach spaces
Gabriel Romon
Geometric quantiles are location parameters which extend classical univariate quantiles to normed spaces (possibly infinite-dimensional) and which include the geometric median as a…
Noise Covariance Estimation in Multi-Task High-dimensional Linear Models
Kai Tan, Gabriel Romon, Pierre C Bellec
This paper studies the multi-task high-dimensional linear regression models where the noise among different tasks is correlated, in the moderately high dimensional regime where sam…
Chi-square and normal inference in high-dimensional multi-task regression
Pierre C Bellec, Gabriel Romon
The paper proposes chi-square and normal inference methodologies for the unknown coefficient matrix of size in a Multi-Task (MT) linear model with covariates,…