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Professeur de statistique

Publications de méthodologie statistique avant 2016 (Revues internationales avec comité de lecture)

[32] J.-F. Quessy, L.-P. Rivest & M.-H. Toupin (2015). Semi-parametric pairwise inference methods in spatial models based on copulas. Spatial Statistics 14, 472-490

[31] J.-F. Quessy & F. Éthier (2014). Two bootstrap strategies for a k-sample problem up to location-scale with dependent samples. Journal of Probability and Statistics

[30] T. Bahraoui & J.-F. Quessy (2014). Weak convergence of empirical and bootstrapped C-power processes and application to copula goodness-of-fit. Journal of Multivariate Analysis 129, 16-36

[29] R. Landry, A. Assani, S. Biron & J.-F. Quessy (2014). The management modes of seasonal floods and their impacts on the relationship between climate and streamflow downstream from dams in Quebec (Canada). River Research and Applications 30, 287–298

[28] J.-F. Quessy, M. Saïd & A.-C. Favre (2013). Multivariate Kendall's tau for change-point detection in copulas. La Revue Canadienne de Statistique 41, 65-82

[27] M. Holmes, I. Kojadinovic & J.-F. Quessy (2013). Nonparametric tests of change-point detection à la Gombay and Horvàth. Journal of Multivariate Analysis 115, 16-32

[26] J.-F. Quessy & R. Bellerive (2013). Statistical procedures for the selection of a multidimensional meta-elliptical distribution. Special issue on copulas of the Journal of the French Statistical Society 154, 78-101

[25] J.-F. Quessy & T. Bahraoui (2013). Graphical and formal statistical tools for the symmetry of bivariate copulas. La Revue Canadienne de Statistique 41, 637-656

[24] J.-F. Quessy (2012). Testing for bivariate extreme dependence using Kendall's process. Scandinavian Journal of Statistics 39, 497-514

[23] C. Genest, J. Neslehová & J.-F. Quessy (2012). Tests of symmetry for bivariate copulas. Annals of the Institute of Statistical Mathematics 64, 811-834

[22] J.-F. Quessy & F. Éthier (2012). Cramér-von Mises and characteristic function tests for the two and k-sample problems with dependent data. Computational Statistics and Data Analysis 56, 2097-2111

[21] R. Mazouz, A. Assani, J.-F. Quessy & G. Légaré (2012). Comparison of the interannual variability of spring heavy floods characteristics of tributaries of the St. Lawrence River in Quebec (Canada). Advances in water resources 35, 110-12

[20] J.-F. Quessy & M. Mailhot (2011). Asymptotic power of tests of normality under local alternatives. Journal of Statistical Planning and Inference 141, 2787-2802

[19] J.-F. Quessy, A.-C. Favre, M. Saïd & M. Champagne (2011). Statistical inference in Lombard's smooth-change model. Environmetrics 22, 882-893

[18] M. Muma, A. A. Assani, J.-F. Quessy, R. Landry & M. Mesfioui (2011). Comparison of summer extreme daily flow characteristics according to forest cover area in southern Québec (Canada). Journal of Hydrology 407, 153-163

[17] A. Assani, R. Landry, J.-F. Quessy & C. Francis (2011). Temporal variability of rain-induces floods in Southern Quebec. In JA Blanco and H. Kheradmand : Climate Change- Geophysical Foundation and ecological effects, Intech, 65-80

[16] M. Muma, A. Assani, R. Landry, J.-F. Quessy & M. Mesfioui (2011). Effects of the change from forest to agriculture land use on the spatial variability of summer extreme daily flow characteristics in southern Quebec (Canada). Journal of hydrology 407, 153-163

[15] J.-F. Quessy (2010). Applications and asymptotic power of marginal-free tests of stochastic vectorial independence. Journal of Statistical Planning and Inference 140, 3058-3075

[14] M. Mesfioui & J.-F. Quessy (2010). Concordance measures for multivariate non-continuous random vectors. Journal of Multivariate Analysis 101, 2398-2410

[13] A. A. Assani, J.-F. Quessy, M. Mesfioui & M. Matteau (2010). An example of applications : the ecological "natural flow regime" paradigm in hydroclimatology. Advances in Water Resources 33, 537-545

[12] A. A. Assani, S. Charron, M. Matteau, M. Mesfioui & J.-F. Quessy (2010). Temporal variability modes of floods for catchments in the St. Lawrence watershed (Quebec, Canada). Journal of Hydrology 385, 292-299

[11] D. Berg & J.-F. Quessy (2009). Local power analyses of goodness-of-fit tests for copulas. Scandinavian Journal of Statistics 36, 389-412

[10] M. Mesfioui, J.-F. Quessy & M.-H. Toupin (2009). On a new goodness-of-fit process for families of copulas. La Revue Canadienne de Statistique 37, 80-101

[9] J.-F. Quessy (2009). Theoretical efficiency comparisons of independence tests based on multivariate versions of Spearman's rho. Metrika 70, 315-338

[8] J.-F. Quessy (2009). Tests of multivariate independence for ordinal data. Communications in statistics. Theory and methods 38, 3510-3531

[7] M. Mesfioui & J.-F. Quessy (2008). Dependence structure of conditional Archimedean copulas. Journal of Multivariate analysis 99, 372-385

[6] C. Genest, J.-F. Quessy & B. Rémillard (2007). Asymptotic local efficiency of Cramér-von Mises tests for multivariate independence. The Annals of Statistics 35, 166-191

[5] C. Genest, J.-F. Quessy & B. Rémillard (2006). Goodness-of-fit procedures for copula models based on the probability integral transformation. Scandinavian Journal of Statistics 33, 337-366

[4] C. Genest, J.-F. Quessy & B. Rémillard (2006). Local efficiency of a Cramér-von mises test of independence. Journal of Multivariate Analysis 97, 274-294

[3] C. Genest, J.-F. Quessy & B. Rémillard (2006). On the joint asymptotic behavior of two rank-based estimators of the association parameter in the gamma frailty model. Statistics and Probability Letters 76, 10-18

[2] M. Mesfioui & J.-F. Quessy (2005). Bounds on the value-at-risk for the sum of possibly dependent risksInsurance: mathematics and economics 37, 135-151

[1] C. Genest, J.-F. Quessy & B. Rémillard (2002). Tests of serial independence based on Kendall's process. La Revue Canadienne de Statistique 30, 441-461