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20072025
most citedHidden Markov Model Applications in Change-Point Analysis

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

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5 papers · 1 filter

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…

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.AP2014

Non-subjective power analysis to detect G*E interactions in Genome-Wide Association Studies in presence of confounding factor

Flora Alarcon, Vittorio Perduca, Gregory Nuel

It is generally acknowledged that most complex diseases are affected in part by interactions between genes and genes and/or between genes and environmental factors. Taking into acc…

stat.AP2012★ 17 cited

Hidden Markov Model Applications in Change-Point Analysis

The Minh Luong, Vittorio Perduca, Gregory Nuel

The detection of change-points in heterogeneous sequences is a statistical challenge with many applications in fields such as finance, signal analysis and biology. A wide variety o…

stat.AP2012

Alternative Methods for H1 Simulations in Genome Wide Association Studies

Vittorio Perduca, Christine Sinoquet, Raphael Mourad +1

Assessing the statistical power to detect susceptibility variants plays a critical role in GWA studies both from the prospective and retrospective points of view. Power is empirica…