| Statistical inference, learning and models in big data B Franke, JF Plante, R Roscher, EA Lee, C Smyth, A Hatefi, F Chen, E Gil, ... International Statistical Review 84 (3), 371-389, 2016 | 83 | 2016 |
| On Blest's measure of rank correlation C Genest, JF Plante Canadian Journal of Statistics 31 (1), 35-52, 2003 | 83 | 2003 |
| A Monte Carlo study of the accuracy and robustness of ten bivariate location estimators JC Massé, JF Plante Computational Statistics & Data Analysis 42 (1-2), 1-26, 2003 | 31 | 2003 |
| Causal inference for recurrent event data using pseudo-observations CL Su, RW Platt, JF Plante Biostatistics 23 (1), 189-206, 2022 | 17 | 2022 |
| The burden of glory: Competing for nonmonetary incentives in rank‐order tournaments R Kali, D Pastoriza, JF Plante Journal of Economics & Management Strategy 27 (1), 102-118, 2018 | 17 | 2018 |
| Nonparametric adaptive likelihood weights JF Plante Canadian Journal of Statistics 36 (3), 443-461, 2008 | 17 | 2008 |
| depth: Nonparametric depth functions for multivariate analysis M Genest, JC Masse, JF Plante R package version, 2.1-1.1, 2019 | 14 | 2019 |
| About an adaptively weighted Kaplan-Meier estimate JF Plante Lifetime Data Analysis 15, 295-315, 2009 | 14 | 2009 |
| depth: Depth functions tools for multivariate analysis M Genest, JC Masse, JF Plante R package version, 2.0-0, 2012 | 13 | 2012 |
| Effect of different sampling designs and methods on the estimation of secondary production: A simulation M Cusson, JF Plante, C Genest Limnology and Oceanography: Methods 4 (2), 38-48, 2006 | 13 | 2006 |
| Asymptotic properties of the MAMSE adaptive likelihood weights JF Plante Journal of Statistical Planning and Inference 139 (7), 2147-2161, 2009 | 11 | 2009 |
| Adaptive likelihood weights and mixtures of empirical distributions JF Plante University of British Columbia, 2007 | 9 | 2007 |
| Conditioning competitive risk: Competitors’ rank proximity and relative ability D Miller, D Pastoriza, JF Plante Journal of Economic Psychology 73, 161-175, 2019 | 7 | 2019 |
| Using balanced iterative reducing and clustering hierarchies to compute approximate rank statistics on massive datasets L Charest, JF Plante Journal of Statistical Computation and Simulation 84 (10), 2214-2232, 2014 | 7 | 2014 |
| Are foreigners at disadvantage in a global labor market? D Pastoriza, JF Plante, N Lakhlef Journal of Sports Economics 22 (6), 615-638, 2021 | 6 | 2021 |
| Depth: Nonparametric depth functions for multivariate analysis. R package version 2.1-1 M Genest, JC Masse, JF Plante | 6 | 2017 |
| TwoCop: Nonparametric test of equality between two copulas, R package version 1.0 B Rémillard, JF Plante | 6 | 2012 |
| depth: Depth functions tools for multivariate analysis, 2012 M Genest, JC Masse, JF Plante R package version, 2.0-0, 0 | 6 | |
| À propos d'une mesure de corrélation des rangs de Blest JF Plante National Library of Canada= Bibliothèque nationale du Canada, Ottawa, 2003 | 4 | 2003 |
| Parametric versus nonparametric machine learning modelling for conditional density estimation of natural events: Application to harmful algal blooms C Ratté-Fortin, JF Plante, AN Rousseau, K Chokmani Ecological Modelling 482, 110415, 2023 | 3 | 2023 |
Christian GenestMcGill University (Montréal, Canada)Dirección de correo verificada de math.mcgill.ca
