activity
20172025
most citedSimultaneous computation of Kendall's tau and its jackknife variance

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

collaborators

5 papers

stat.AP2025

Distributional regression for seasonal data: an application to river flows

Samuel Perreault, Silvana M. Pesenti, Daniyal Shahzad

Risk assessment in casualty insurance, such as flood risk, traditionally relies on extreme-value methods that emphasizes rare events. These approaches are well-suited for character…

math.ST2022★ 1 cited

Clustered Archimax Copulas

Simon Chatelain, Samuel Perreault, Johanna G. Nešlehová +1

When modeling multivariate phenomena, properly capturing the joint extremal behavior is often one of the many concerns. Archimax copulas appear as successful candidates in case of…

stat.CO2022★ 2 cited

Simultaneous computation of Kendall's tau and its jackknife variance

Samuel Perreault

We present efficient algorithms for simultaneously computing Kendall's tau and the jackknife estimator of its variance. For the classical pairwise tau, we describe a modification o…

stat.ME2020

Hypothesis tests for structured rank correlation matrices

Samuel Perreault, Johanna Neslehova, Thierry Duchesne

Joint modeling of a large number of variables often requires dimension reduction strategies that lead to structural assumptions of the underlying correlation matrix, such as equal…

math.ST2017

Detection of Block-Exchangeable Structure in Large-Scale Correlation Matrices

Samuel Perreault, Thierry Duchesne, Johanna G. Nešlehová

Correlation matrices are omnipresent in multivariate data analysis. When the number d of variables is large, the sample estimates of correlation matrices are typically noisy and co…