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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.
Jalbert, J., Favre, A.-C., Bélisle, C., & Angers, J.-F. (2017). A spatiotemporal model for extreme precipitation simulated by a climate model, with an application to assessing changes in return levels over North America. Journal of the Royal Statistical Society: Series C (Applied Statistics), 66(5), 941-962. External link
Jalbert, J., Favre, A.-C., Bélisle, C., & Angers, J.-F. (2016, April). A spatio-temporal model for extreme precipitation simulated by a climate model [Presentation]. In Theme of the year: uncertainty and causality assessment in modeling extreme and rare events (TOY 2016), Boulder, CO. Unavailable
Jalbert, J., Favre, A.-C., Bélisle, C., & Angers, J.-F. (2016, September). A spatio-temporal model for extreme precipitation simulated by a climate model, with an application for assessing changes in return levels over North America [Presentation]. In International Commission on Statistical Hydrology Workshop (STAHY 2016 Workshop), Québec, Qc. Unavailable
Jalbert, J., Favre, A.-C., Bélisle, C., & Angers, J.-F. (2016, July). A spatio-temporal model for extreme precipitation simulated by a climate model; with an application for assessing changes in return levels over North America [Presentation]. In Multivariate and Spatial Extremes, with Environmental Applications, Lancaster, UK. Unavailable
Jalbert, J., Favre, A.-C., Bélisle, C., Angers, J.-F., & Paquin, D. (2015). Canadian RCM projected transient changes to precipitation occurrence, intensity, and return level over north america. Journal of Climate, 28(17), 6920-6937. External link
Jalbert, J., Mathevet, T., & Favre, A.-C. (2011). Temporal uncertainty estimation of discharges from rating curves using a variographic analysis. Journal of Hydrology, 397(1), 83-92. External link
Morlot, T., Perret, C., Favre, A.-C., & Jalbert, J. (2014). Dynamic rating curve assessment for hydrometric stations and computation of the associated uncertainties: quality and station management indicators. Journal of Hydrology, 517, 173-186. External link
