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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Beck, N., Genest, C., Jalbert, J., & Mailhot, M. (2020). Predicting extreme surges from sparse data using a copula-based hierarchical Bayesian spatial model. Environmetrics, 31(5), e2616 (22 pages). External link
Beck, N., Genest, C., Jalbert, J., & Mailhot, M. (2019, July). Predicting extreme surges from sparse data using a copula-based hierarchical Bayesian spatial model [Abstract]. 11th International Conference on Extreme Value Analysis (EVA 2019), Zagreb, Croatia. External link
Genest, C., Jalbert, J., & Perreault, F. (2019, July). Interpolation of extreme precipitation of multiple durations in Eastern Canada [Paper]. 11th International Conference on Extreme Value Analysis (EVA 2019), Zagreb, Croatia. Unavailable
Jalbert, J., Genest, C., & Perreault, L. (2022). Interpolation of Precipitation Extremes on a Large Domain Toward IDF Curve Construction at Unmonitored Locations. Journal of Agricultural, Biological and Environmental Statistics, 27(3), 461-486. External link
Jalbert, J., Murphy, O. A., Genest, C., & Nešlehová, J. G. (2019). Modelling extreme rain accumulation with an application to the 2011 Lake Champlain flood. Journal of the Royal Statistical Society Series C (Applied Statistics), 68(4), 831-858. Available
Jalbert, J., Perreault, L., & Genest, C. (2017, May). Estimation des précipitations extrêmes aux postes de transformation exploités par Hydro-Québec [Presentation]. In Recherche en Hydrologie au Québec: gestion et évolution du risque hydrologique (RHQ 2017), Québec, Qc. Unavailable
Jalbert, J., Beck, N., Tremblay, V., Genest, C., & Mailhot, M. (2017, February). Estimation of extreme sea levels using a spatial extreme value model [Presentation]. In Workshop on Risk Quantification and Extreme Values in Applications, Lausanne, Suisse. Unavailable
Jalbert, J., Murphy, O., Genest, C., & Neslehova, J. (2017, June). Modeling clusters of extreme values [Presentation]. In 10th International Conference on Extreme Value Analysis (EVA 2016), Delft, Pays-Bas. Unavailable
Li, X., Genest, C., & Jalbert, J. (2021). A self‐exciting marked point process model for drought analysis. Environmetrics, 32(8), 1-24. Available
