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pro vyhledávání: '"Perreault, Samuel"'
Over the last three decades, case-crossover designs have found many applications in health sciences, especially in air pollution epidemiology. They are typically used, in combination with partial likelihood techniques, to define a conditional logisti
Externí odkaz:
http://arxiv.org/abs/2401.14338
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 asymptotic dependence. In this paper, the class of Archimax copulas is
Externí odkaz:
http://arxiv.org/abs/2210.15622
Autor:
Perreault, Samuel
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 of Knight's algorithm (originally designed to compute only tau) that do
Externí odkaz:
http://arxiv.org/abs/2206.04019
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 pair-wise correlations within subsets of variables. The underlying cor
Externí odkaz:
http://arxiv.org/abs/2007.09738
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Akademický článek
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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 conceal underlying dependence patterns. We consider the case when the va
Externí odkaz:
http://arxiv.org/abs/1706.05940
Autor:
Norris, Jessica L, Rogers, Lindsey O, Pytko, Kara G, Dannenberg, Rachel L, Perreault, Samuel, Kaushik, Vikas, Kuppa, Sahiti, Antony, Edwin, Hedglin, Mark
Publikováno v:
Nucleic Acids Research; 7/22/2024, Vol. 52 Issue 13, p7650-7664, 15p
Autor:
Batomen, Brice, Cloutier, Marie-Soleil, Carabali, Mabel, Hagel, Brent, Howard, Andrew, Rothman, Linda, Perreault, Samuel, Brown, Patrick, Ruggiero, Erica Di, Bondy, Susan
Publikováno v:
American Journal of Epidemiology; May2024, Vol. 193 Issue 5, p707-717, 11p