| Everything you always wanted to know about copula modeling but were afraid to ask C Genest, AC Favre Journal of hydrologic engineering 12 (4), 347-368, 2007 | 1919 | 2007 |
| Multivariate hydrological frequency analysis using copulas AC Favre, S El Adlouni, L Perreault, N Thiémonge, B Bobée Water resources research 40 (1), 2004 | 854 | 2004 |
| Bayesian copula selection D Huard, G Evin, AC Favre Computational Statistics & Data Analysis 51 (2), 809-822, 2006 | 299 | 2006 |
| Metaelliptical copulas and their use in frequency analysis of multivariate hydrological data C Genest, AC Favre, J Béliveau, C Jacques Water Resources Research 43 (9), 2007 | 284 | 2007 |
| Importance of tail dependence in bivariate frequency analysis A Poulin, D Huard, AC Favre, S Pugin Journal of hydrologic engineering 12 (4), 394-403, 2007 | 218 | 2007 |
| Hydrologie fréquentielle: une science prédictive P Meylan, AC Favre, A Musy PPUR presses polytechniques, 2008 | 137 | 2008 |
| Bivariate return periods and their importance for flood peak and volume estimation MI Brunner, J Seibert, AC Favre Wiley Interdisciplinary Reviews: Water 3 (6), 819-833, 2016 | 99 | 2016 |
| Comparison of methodologies to assess the convergence of Markov chain Monte Carlo methods S El Adlouni, AC Favre, B Bobée Computational Statistics & Data Analysis 50 (10), 2685-2701, 2006 | 98 | 2006 |
| Probabilistic forecasting from ensemble prediction systems: Improving upon the best‐member method by using a different weight and dressing kernel for each member V Fortin, A Favre, M Saïd Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2006 | 94 | 2006 |
| Flood type specific construction of synthetic design hydrographs MI Brunner, D Viviroli, AE Sikorska, O Vannier, AC Favre, J Seibert Water Resources Research 53 (2), 1390-1406, 2017 | 88 | 2017 |
| Predictive hydrology: a frequency analysis approach P Meylan, AC Favre, A Musy CRC Press, 2012 | 86 | 2012 |
| Temporal uncertainty estimation of discharges from rating curves using a variographic analysis J Jalbert, T Mathevet, AC Favre Journal of Hydrology 397 (1-2), 83-92, 2011 | 82 | 2011 |
| Stochastic generation of multi-site daily precipitation focusing on extreme events G Evin, AC Favre, B Hingray Hydrology and Earth System Sciences 22 (1), 655-672, 2018 | 81 | 2018 |
| A new rainfall model based on the Neyman‐Scott process using cubic copulas G Evin, AC Favre Water Resources Research 44 (3), 2008 | 72 | 2008 |
| Reconstruction of missing daily streamflow data using dynamic regression models P Tencaliec, AC Favre, C Prieur, T Mathevet Water Resources Research 51 (12), 9447-9463, 2015 | 62 | 2015 |
| Dynamic rating curve assessment for hydrometric stations and computation of the associated uncertainties: Quality and station management indicators T Morlot, C Perret, AC Favre, J Jalbert Journal of Hydrology 517, 173-186, 2014 | 55 | 2014 |
| Flexible semiparametric generalized Pareto modeling of the entire range of rainfall amount P Tencaliec, AC Favre, P Naveau, C Prieur, G Nicolet Environmetrics 31 (2), e2582, 2020 | 52 | 2020 |
| Statistical inference in Lombard's smooth‐change model JF Quessy, AC Favre, M Saïd, M Champagne Environmetrics 22 (7), 882-893, 2011 | 52 | 2011 |
| Modeling the spatial dependence of floods using the Fisher copula MI Brunner, R Furrer, AC Favre Hydrology and Earth System Sciences 23 (1), 107-124, 2019 | 50 | 2019 |
| Multivariate Kendall's tau for change‐point detection in copulas JF Quessy, M Saïd, AC Favre Canadian Journal of Statistics 41 (1), 65-82, 2013 | 49 | 2013 |
