activity
20072025
most citedHidden Markov Model Applications in Change-Point Analysis

17 citations · 32 across the 12 of their papers we have counts for

collaborators

14 papers

stat.AP2025

Detecting adverse high-order drug interactions from individual case safety reports using computational statistics on disproportionality measures

Jules Bangard, Einar Holsbø, Kristian Svendsen +2

Adverse drug interactions are a critical concern in pharmacovigilance, as both clinical trials and spontaneous reporting systems often lack the breadth to detect complex drug inter…

q-bio.QM2024★ 1 cited

Group lasso based selection for high-dimensional mediation analysis

Allan Jérolon, Flora Alarcon, Florence Pittion +4

Mediation analysis aims to identify and estimate the effect of an exposure on an outcome that is mediated through one or more intermediate variables. In the presence of multiple in…

math.ST2023★ 3 cited

A Comprehensive Framework for Evaluating Time to Event Predictions using the Restricted Mean Survival Time

Ariane Cwiling, Vittorio Perduca, Olivier Bouaziz

The restricted mean survival time (RMST) is a widely used quantity in survival analysis due to its straightforward interpretation. For instance, predicting the time to event based…

cs.LG2021

Error rate control for classification rules in multiclass mixture models

Tristan Mary-Huard, Vittorio Perduca, Gilles Blanchard +1

In the context of finite mixture models one considers the problem of classifying as many observations as possible in the classes of interest while controlling the classification er…

stat.AP2018

Shrinkage estimation of rate statistics

Einar Holsbø, Vittorio Perduca

This paper presents a simple shrinkage estimator of rates based on Bayesian methods. Our focus is on crime rates as a motivating example. The estimator shrinks each town's observed…

stat.ME2018★ 4 cited

Causal mediation analysis in presence of multiple mediators uncausally related

Allan Jerolon, Laura Baglietto, Etienne Birmele +2

Mediation analysis aims at disentangling the effects of a treatment on an outcome through alternative causal mechanisms and has become a popular practice in biomedical and social s…