Publications 

• M. Adès, J.-F. Plante & Serge Provost (2022). Le paradoxe de Saint-Pétersbourg. Accromath, 17.1, 2-6. 
• C.-L. Su, R. W. Platt & J.-F. Plante (2022). Causal Inference for Recurrent Event Data using Pseudo-Observations, Biostatistics, 23, 189-206.
• D. Pastoriza, J.-F. Plante & N. Lakhlef (2021). Are Foreigners at Disadvantage in a Global Labor Market? Journal of Sports Economics, 22, 615–638.
• M. Adès & J.-F. Plante (2020). Tout vient à point même s'il faut attendre plus longtemps. Accromath, 15.1, 18-23. 
• D. Miller, D. Pastoriza, J.-F. Plante (2019). Conditioning competitive risk: Competitors' rank proximity and relative ability, Journal of Economic Psychology, 73, 161-175.
• C. Genest & J.-F. Plante (2019). L'union fait la force Accromath, 14.1, 18-23. 
• C. Genest, J.-F. Plante & O. Okhrin (2018). Qui se ressemblent s'assemblent. Accromath, 13.1, 14-19. 
• J.-F. Plante & J.-B. Débordès (2018). Combining ROC curves using MAMSE weighted distributions The Canadian Journal of Statistics, 46, 298-315.  
• R. Kali, D. Pastoriza & J.-F. Plante (2018). The Burden of Glory: Competing for Non-monetary Incentives in Rank-order Tournaments, Journal of Economics & Management Strategy, 27, 102-118.
• J.-F. Plante (2017). Rank correlation under categorical confounding, Journal of Statistical Distributions and Applications, 4, 20
• B. Franke, J.-F. Plante, R. Roscher, A. Lee, C. Smyth, A. Hatefi, F. Chen, E. Gil, A. Schwing, A. Selvitella, M. M. Hoffman, R. Grosse, D. Hendricks, N. Reid (2016). Statistical Inference, Learning and Models in Big Data, International Statistical Review, 84, 371-389.
• L. Charest & J.-F. Plante (2014). Using BIRCH to compute approximate rank statistics on massive datasets. Journal of Statistical Computation and Simulation, 84, 2214-2232.
• J.-F. Plante & G. B. Windfeldt (2012). Using predictive risk for process control. Australian and New Zealand Journal of Statistics, 54, 485-504.
• J.-F. Plante & N. Reid (2011). Statistics in the news. The American Statistician, 65, 80-88. 
• J.-F. Plante (2009). About and adaptively weighted Kaplan-Meier estimate. Lifetime Data Analysis, 15, 295-315.  
• J.-F. Plante (2009). Asymptotic properties of the MAMSE adaptive likelihood weights. Journal of Statistical Planning and Inference, 139, 2147-2161. 
• J.-F. Plante (2008). Nonparametric adaptive likelihood weights. The Canadian Journal of Statistics, 36, 443-461.  
• M. Cusson, J.-F. Plante & C. Genest (2006). The effect of different sampling designs and methods on the estimation of secondary production: A simulation. Limnology and Oceanography: Methods, 4, 38-48. 
• C. Genest & J.-F. Plante (2003). On Blest's measure of rank correlation. The Canadian Journal of Statistics, 31, 35-52. 
• J.-C. Massé & J.-F. Plante (2003). A Monte Carlo study of the accuracy and robustness of ten bivariate location estimators, Computational Statistics and Data Analysis, 42, 1-26. 

Proceedings 

• J.-F. Plante, P.-M. Léger, J.-F. Michon, F. Karimi-Alaghehband, M. Fredette & M. Bliemel (2019). Using Simulation Games to Teach Analytics, Proceedings of the SAS Global Forum 2019. 

Contributions to discussions 

• J.-F. Plante & N. Reid (2011). Discussion of the paper "Towards more accessible conceptions of statistical inference" by C. J. Wild, M. Pfannkuch, M. Regan and N. J. Horton, Journal of the Royal Statistical Society: Series A, 174, 287-288. 
• C. Genest & J.-F. Plante (2007). Comment on "A weighted rank measure of correlation" by J. Pinto da Costa and C. Soares. Australian and New Zealand Journal of Statistics, 49, 203-204. 

Technical Reports 

• M. Larocque, J.-F. Plante & M. Adès (2018). Bagged parallel genetic algorithms for objective model selection. Cahier du GERAD G-2018-70.
• J. Witkowski, J.-F. Plante, F. Godin, Y. Hubert & S. Constantineau (2017). Parameters affecting the operational control of log turners, in Proceedings of the Eight Montreal Industrial Problem Solving Workshop, O. Marcotte (ed). CRM Research Report CRM-3369, 39-53.
• B. Franke, J.-F. Plante, R. Roscher, A. Lee, C. Smyth, A. Hatefi, F. Chen, E. Gil, A. Schwing, A. Selvitella, M. M. Hoffman, R. Grosse, D. Hendricks, N. Reid (2015). Statistical Inference, Learning and Models in Big Data. Arxiv 1509.02900.
• J.-B. Débordès & J.-F. Plante (2015). Combining ROC curves using MAMSE weighted distributions. Cahier du GERAD G-2015-69.
• J.-F. Plante, O. Gurtuna, M. Denault, M. Gendreau, J.-C. Roy et al. (2013). Solar Energy Portfolio Analysis, in Proceedings of the Fourth Montreal Industrial Problem Solving Workshop, A CRM-Mprime Event, H. Huang, E. Lorin and O. Marcotte (eds). CRM Research Report CRM-3327, 62-74. 
• L. Charest & J.-F. Plante (2012). Using BIRCH to Compute Approximate Rank Statistics on Massive Datasets, Cahier du GERAD G-2012-76.
• J.-F. Plante & G.B. Windfeldt (2011). Using Predictive Risk for Process Control, Cahier du GERAD G-2011-53.
• J.-F. Plante (2010). Mixtures of Empirical Copulas and Weighted Coefficients of Correlation, Cahier du GERAD G-2010-41

Other contributions 

• Co-author (with Jean-Claude Massé and Maxime Genest) and maintainer of the depth library available on CRAN.
• Author and maintainer of the MAMSE library available on CRAN.
• Co-author (with Bruno Rémillard) of the TwoCop library available on CRAN.