Denis Larocque

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We consider the multivariate linear model for multilevel data where units are nested within a hierarchy of clusters. We propose permutation procedures to tes...

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We consider the multivariate linear model for multilevel data where units are nested within a hierarchy of clusters. We propose permutation procedures to te...

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The log-rank test is commonly used as the split function in many commonly used survival trees and forests algorithms. However, the log-rank test may have a...

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We propose a method to build trees and forests when the response is a non-homogeneous Poisson process with excess zeros, based on two forests. The first one...

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We consider the multivariate linear model for multilevel data where units are nested within a hierarchy of clusters. We propose permutation procedures to tes...

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In this paper, we propose a multivariate random forest method for multiple responses of mixed types with missing responses. Imputation is performed for eac...

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This paper presents a non--technical account of the developments in tree--based methods for the analysis of survival data with censoring. This review desc...

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This paper presents an extension of the well known random forest method to the case of clustered data. The proposed "mixed effects random forest" method is i...

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In this paper, we empirically investigate the robustness of random forests for regression problems. We also investigate the performance of five variations o...

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This paper presents the generalized mixed effects regression tree (GMERT) method, an extension of the mixed effects regression tree (MERT) methodology design...

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Discrete-time survival data with time-varying covariates are often encountered in practice. One such example is bankruptcy studies where the status of each f...

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Tree based methods have not yet been adapted to handle mixed effects. Previous works extending them to accommodate correlated data are based on the multivari...

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There has been a wide interest to extend univariate and multivariate nonparametric procedures to clustered and hierarchical data. Traditionally, parametric m...

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This paper estimates a structural vector autoregression model to assess the dynamic effects of terrorism on output and prices in Israel over the post-1985 pe...

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In this paper, we consider the nonparametric Behrens-Fisher problem with cluster correlated data. A class of weighted Mann-Whitney test statistics are intr...

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In this paper, we propose a tree-based method for multivariate outcomes consisting in a mixture of categorical and continuous responses. The split function...

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A weighted multivariate signed-rank test is introduced for an analysis of multivariate clustered data. Observations in different clusters may then get diffe...

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Cet article dresse un portrait de l'état de la concurrence fiscale internationale par l'entremise i) de l'étude des taux d'impôt et autres caractéristiques...

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This study examines simultaneously the effect of personal, contextual, and product-related factors on purchasing behaviour of fair-trade products. The resu...

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Tree-based methods are frequently used in studies with censored survival time. Their structure and ease of interpretability make them useful to identify p...

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