34 citations · 82 across the 7 of their papers we have counts for
7 papers
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…
Fully Bayesian inference for spatiotemporal data with the multi-resolution approximation
Luc Villandré, Jean-François Plante, Thierry Duchesne +1
Large spatiotemporal datasets are a challenge for conventional Bayesian models because of the cubic computational complexity of the algorithms for obtaining the Cholesky decomposit…
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…
Prediction of the margin of victory only from team rankings for regular season games in NCAA men's basketball
David Beaudoin, Thierry Duchesne
The main objective of this paper is to investigate the extent to which the margin of victory can be predicted solely by the rankings of the opposing teams in NCAA Division I men's…
A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure
Radu V. Craiu, Thierry Duchesne
We propose a new model selection criterion for mixed effects regression models that is computable when the model is fitted with a two-step method, even when the structure and the d…
A Multi-State Conditional Logistic Regression Model for the Analysis of Animal Movement
Aurélien Nicosia, Thierry Duchesne, Louis-Paul Rivest +1
A multi-state version of an animal movement analysis method based on conditional logistic regression, called Step Selection Function (SSF), is proposed. In ecology SSF is developed…
A General Hidden State Random Walk Model for Animal Movement
Aurélien Nicosia, Thierry Duchesne, Louis-Paul Rivest +1
In this paper, we propose a general hidden state random walk model to describe the movement of an animal that takes into account movement taxis with respect to features of the envi…