Areas of expertise
Data Science applied to the environment and environmental health
- Full Professor
Email
fateh.chebana@inrs.ca
Eau Terre Environnement Research Centre
490 de la Couronne Street
Québec City, Quebec G1K 9A9
CANADA
Research interests
Professor Chebana’s research interest is mainly in Data science with focus on applications in environment and environmental health. His expertise is in a large variety of interdisciplinary research with data science approaches (including but not limited to hydrology, water sciences, climatology, climate epidemiology, climate change effects). He is interested in developing new data science methodologies, as well as adapting or applying recent/advanced approaches.
Book
Chebana, Fateh (2022). Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach. Elsevier, ix, 210 pages.
Aquatic Habitat Analysis and Modeling Laboratory
Reliable models are required to determine the impact of changes in the habitat on river biological productivity to assist authorities in the sustainable management of Canadian rivers. In a habitat model, fish preferences for certain combination of physical variables are used to determine the quality index of the habitat. Analysis of these models shows that they have major shortcomings mainly related to the fact that the variables defining fish habitat evolve at different spatial and temporal scales.The objective of this project is to develop models that overcome these shortcomings. The research work will take place within a new laboratory dedicated to the analysis and modeling of aquatic habitats, the only one in Canada and Quebec. In this laboratory, researchers will gather the necessary data to develop the next generation of habitat models. New complex statistical approaches will also be developed to take into account the different spatial and temporal scales involved and different levels of variability. These approaches will help aquatic ecosystem managers in making decisions for the protection of fish. The proposed research will improve our understanding of fish habitats and assist in water resource management mainly in Quebec, but also elsewhere around the world.
Funding: Canadian Fundation fo Innovation – Leaders Fund, Government of Quebec
Collaborators : Normand Bergeron and André St-Hilaire, INRS
Development of knowledge transfer tools to support research, intervention, and monitoring in public health and climate change sectors
A better understanding of the link between mortality and morbidity due to cardiovascular diseases (CVD) and meteorology or climate is important for public health monitoring. Many deliverables have been planned/ published to transfer important information about the CVD Program to the scientific community. However, the scientific concepts and the statistical results are difficult to understand and transfer adequately, even to some experts.As such, additional efforts must be made to promote the use and application of this knowledge in the development of interventions, research protocols, and tools for monitoring public health, and this is the reason behind this project of knowledge transfer. The objective is to improve the knowledge transfer about the health-climate studies, and in particular about the CVD Program. Two deliverables are planned: 1) written reports to synthesize and describe some of the results and analytical methods developed or improved within the CVD Program; 2) development of a software program to automatically identify threshold temperature values at the regional scale.
Funding: Ministère de la Santé et des Services sociaux du Québec
Collaborators : Pierre Gosselin and Diane Bélanger, Institut national de santé publique du Québec
Flexible and optimal statistical methods for regional frequency analysis of hydrological variables
Extreme hydrological events (e.g. floods) have economic and environmental consequences and impacts on the design and management of hydraulic structures. Thorough knowledge of hydrological processes is required to make the right decisions in sizing the structures. It is thus essential to develop adequate models to predict such events in order to reduce related risks.Frequency analysis (FA) is usually used toward this goal. The objective of regional FA (RFA) is to transfer information from gauged to ungauged sites (e.g. the site of a new structure) using a model such as the flood index. Currently used methods in RFA are based on relatively simple models or models having restrictive conditions. The objective of this project is to better understand hydrological processes and to improve the quality of the estimations. The originality of this research lies in the use of new statistical methods for RFA and in the development of innovative approaches in statistical hydrology specific for RFA. The results of this research will help provide managers and engineers with more realistic and robust approaches, and with more precise estimates of hydrological risks.
Funding: NSERC – Discovery Grant
Publications
Boudreault, Jérémie, Campagna, Céline & Chebana, Fateh (2024). Revisiting the importance of temperature, weather and air pollution variables in heat-mortality relationships with machine learning. Environmental Science and Pollution Research, ONLINE.
DOI: 10.1007/s11356-024-31969-z
Boudreault, Jérémie, Campagna, Céline & Chebana, Fateh (2023). Machine and deep learning for modelling heat-health relationships. Science of The Total Environment, 892: Art. 164660.
DOI: 10.1016/j.scitotenv.2023.164660
Chebana, Fateh (2023). Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach. Elsevier, ix, 210 pages.
Ben Nasr, Imene & Chebana, Fateh (2022). Estimation method for mixture copula models in hydrological context. Journal of Hydrology, 615 (Part A): Art. 128603.
DOI: 10.1016/j.jhydrol.2022.128603
Boudreault, Jérémie, Bergeron, Normand E., St-Hilaire, André & Chebana, Fateh (2022). A new look at habitat suitability curves through functional data analysis. Ecological Modelling, 467: Art. 109905.
DOI: 10.1016/j.ecolmodel.2022.109905
Jeljli, Amal, Houle, Daniel, Duchesne, Louis, El Shaarawi, Abdelhamid & Chebana, Fateh (2022). Evaluation of the factors governing dissolved organic carbon concentration in the soil solution of a temperate forest organic soil. Science of the Total Environment, 853: Art. 158240.
DOI: 10.1016/j.scitotenv.2022.158240
Masselot, Pierre, Ouarda, Taha B. M. J., Charron, Christian, Campagna, Céline, Lavigne, Éric, St-Hilaire, André, Chebana, Fateh, Valois, Pierre & Gosselin, Pierre (2022). Heat-related mortality prediction using low-frequency climate oscillation indices: Case studies of the cities of Montréal and Québec, Canada. Environmental Epidemiology, 6: Art. e206.
DOI: 10.1097/EE9.0000000000000206
Masselot, Pierre, Chebana, Fateh, Ouarda, Taha B. M. J., Bélanger, Diane & Gosselin, Pierre (2022). Data-enhancement strategies in weather-related health studies. Environmental Research and Public Health, 19 (2): Art. 906.
DOI: 10.3390/ijerph19020906
Masselot, Pierre, Chebana, Fateh, Campagna, Céline, Lavigne, Éric, Ouarda, Taha B. M. J. & Gosselin, Pierre (2022). Constrained groupwise additive index models. Biostatistics, kxac023.
DOI: 10.1093/biostatistics/kxac023
Alobaidi, Mohannad H., Ouarda, Taha B. M. J., Marpu, Prashanth Reddy & Chebana, Fateh (2021). Diversity-driven ANN-based ensemble framework for seasonal low-flow analysis at ungauged sites. Advances in Water Resources, 147: Art. 103814.
DOI: 10.1016/j.advwatres.2020.103814
Boudreault, Jérémie, St-Hilaire, André, Chebana, Fateh & Bergeron, Normand E. (2021). Modelling fish physico-thermal habitat selection using functional regression. Journal of Ecohydraulics, 6 (2): 105-120.
DOI: 10.1080/24705357.2020.1840313
Chebana, Fateh & Ouarda, Taha B. M. J. (2021). Multivariate non-stationary hydrological frequency analysis. Journal of Hydrology, 593: Art. 125907.
DOI: 10.1016/j.jhydrol.2020.125907
Chiu, Yohann Moanahere, Chebana, Fateh, Abdous, Belkacem, Bélanger, Diane & Gosselin, Pierre (2021). Cardiovascular health peaks and meteorological conditions: A quantile regression approach. International Journal of Environmental Research and Public Health, 18 (24): Art. 13277.
DOI: 10.3390/ijerph182413277
Issa, Mahamat Abdelkerim, Chebana, Fateh, Masselot, Pierre, Campagna, Céline, Lavigne, Éric, Gosselin, Pierre & Ouarda, Taha B. M. J. (2021). A heat-health watch and warning system with extended season and evolving thresholds. BMC Public Health, 21: Art. 1479.
DOI: 10.1186/s12889-021-10982-8
Masselot, Pierre, Chebana, Fateh, Campagna, Céline, Lavigne, Éric, Ouarda, Taha B. M. J. & Gosselin, Pierre (2021). Machine learning approaches to identify thresholds in a heat-health warning system context. Journal of the Royal Statistical Society Serie A: Statistics in Society, 184 (4): 1326-1346.
DOI: 10.1111/rssa.12745
Alobaidi, Mohannad H.; Meguid, Mohamed A. & Chebana, Fateh (2020). Varying-parameter modeling within ensemble architecture: Application to extended streamflow forecasting. J. Hydrol., 582: Art. 124511.
DOI: /10.1016/j.jhydrol.2019.124511
Ben Alaya, Mohammed Ali; Ternynck, Camille S.; Dabo-Niang, Sophie; Chebana, Fateh & Ouarda, Taha B. M. J. (2020). Change point detection of flood events using a functional data framework. Adv. Water Resour., 137: Art. 103522.
DOI: 10.1016/j.advwatres.2020.103522
Karahacane, Hafsa; Meddi, Mohamed; Chebana, Fateh & Saaed, Hamoudi A. (2020). Complete multivariate flood frequency analysis, applied to northern Algeria. J. Flood Risk Manage., 13 (4): Art. e12619.
DOI: 10.1111/jfr3.12619
Serinaldi, Francesco; Chebana, Fateh & Kilsby, Chris G. (2020). Dissecting innovative trend analysis. Stoch. Environ. Res. Risk Asses., 34: 733-754.
DOI: 10.1007/s00477-020-01797-x
Yan, Bixun; Chebana, Fateh; Masselot, Pierre; Campagna, Céline; Gosselin, Pierre; Ouarda, Taha B. M. J. & Lavigne, Éric (2020). A cold-health watch and warning system, applied to the province of Quebec (Canada). Sci. Total Environ., 741: Art. 140188.
DOI: 10.1016/j.scitotenv.2020.140188
Alobaidi, Mohannad H.; Meguid, Mohamed A. & Chebana, Fateh (2019). Predicting seismic-induced liquefaction through ensemble learning frameworks. Scientific Reports, 9: Art. 11786.
DOI: 10.1038/s41598-019-48044-0
Ben Nasr, Imen & Chebana, Fateh (2019). Homogeneity testing of multivariate hydrological records, using multivariate copula L-moments. Adv. Water Resour., 134: Art. 103449.
DOI: 10.1016/j.advwatres.2019.103449
Ben Nasr, Imen & Chebana, Fateh (2019). Multivariate L-moment based tests for copula selection, with hydrometeorological applications. J. Hydrol., 579: Art. 124151.
DOI: 10.1016/j.jhydrol.2019.124151
Boudreau, Jérémie; Bergeron, Normand E.; St-Hilaire, André & Chebana, Fateh (2019). Stream temperature modeling using functional regression models. J. Am. Water Resour. Assoc., 55 (6): 1382-1400.
DOI: 10.1111/1752-1688.12778
Curceac, Stelian; Ternynck, Camille S.; Ouarda, Taha B. M. J.; Chebana, Fateh & Niang, Sophie Dabo (2019). Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models. Environ. Model. Soft., 111 : 394-408.
DOI: 10.1016/j.envsoft.2018.09.017
Masselot, Pierre; Chebana, Fateh; Lavigne, Éric; Campagna, Céline; Gosselin, Pierre & Ouarda, Taha B. M. J. (2019). Toward an improved air pollution warning system in Quebec. Int. J. Environ. Res. Public Health, 16 (12): Art. 2095.
DOI: 10.3390/ijerph16122095
Alobaidi, Mohannad H.; Chebana, Fateh & Meguid, Mohamed A. (2018). Robust ensemble learning framework for day-ahead forecasting of household based energy consumption. Appl. Ener., 212: 997-1012.
DOI: 10.1016/j.apenergy.2017.12.054
Ben Alaya, Mohammed Ali; Ouarda, Taha B. M. J. & Chebana, Fateh (2018). Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework. Clim. Dynam., 50 (1-2): 1-15.
DOI: 10.1007/s00382-017-3578-0
Chiu, Yohann; Chebana, Fateh; Abdous, Belkacem; Bélanger, Diane & Gosselin, Pierre (2018). Mortality and morbidity peaks modeling: An extreme value theory approach. Stat. Methods Med. Res., 27 (5): 1498-1512.
DOI: 10.1177/0962280216662494
Larabi, Samah; St-Hilaire, André & Chebana, Fateh (2018). A new Concept to calibrate and evaluate a hydrological model based on functional data analysis. J. Water Manag. Model., 26: Art. C442.
DOI: 10.14796/JWMM.C442
Larabi, Samah; St-Hilaire, André; Chebana, Fateh & Latraverse, Marco (2018). Multi-criteria process-based calibration using functional data analysis to improve hydrological model realism. Water Resour. Manage., 32 (1): 195-211.
DOI: 10.1007/s11269-017-1803-6
Larabi, Samah; St-Hilaire, André; Chebana, Fateh & Latraverse, Marco (2018). Using functional data analysis to calibrate and evaluate hydrological model performance. J. Hydrol. Eng., 23 (7): Art. 04018026.
DOI: 10.1061/(ASCE)HE.1943-5584.0001669
Larios, Araceli Dalila; Chebana, Fateh; Godbout, Stéphane; Brar, Satinder Kaur; Valera, F.; Palacios, Joahnn H.; Avalos Ramirez, Antonio; Saldoval-Salas, F.; Larouche, J. P.; Medina-Hernàndez, D. & Potvin, L. (2018). Analysis of atmospheric ammonia concentration from four sites in Quebec City region over 2010-2013. Atmos. Pollut. Res., 9 (3): 476-482.
DOI: 10.1016/j.apr.2017.11.001
Masselot, Pierre; Chebana, Fateh; Bélanger, Diane; St-Hilaire, André; Abdous, Belkacem; Gosselin, Pierre & Ouarda, T. B. M. J. (2018). Aggregating the response in time series regression models, applied to weather-related cardiovascular mortality. Sci. Total Environ., 628-629: 217-225.
DOI: 10.1016/j.scitotenv.2018.02.014
Masselot, Pierre; Chebana, Fateh; Ouarda, Taha B. M. J.; Bélanger, Diane; St-Hilaire, André & Gosselin, Pierre (2018). A new look at weather-related health impacts through functional regression. Scientific Reports, 8: Art. 15241.
DOI: 10.1038/s41598-018-33626-1
Masselot, Pierre; Chebana, Fateh; St-Hilaire, André; Belkacem, Abdous; Gosselin, Pierre & Ouarda, Taha B. M. J. (2018). EMD-regression for modelling multi-scale relationships, and application to weather-related cardiovascular mortality. Sci. Total Environ., 612 : 1018-1029.
DOI: 10.1016/j.scitotenv.2017.08.276
Ouarda, Taha B. M. J.; Charron, Christian; Hundecha, Yeshewatesfa; St-Hilaire, André & Chebana, Fateh (2018). Introduction of the GAM model for regional low-flow frequency analysis at ungauged basins and comparison with commonly used approaches. Environ. Model. Soft., 109: 256-271.
DOI: 10.1016/j.envsoft.2018.08.031
Rahman, A.; Charron, Christian; Ouarda, Taha B. M. J. & Chebana, Fateh (2018). Development of regional flood frequency analysis techniques using generalized additive models for Australia. Stoch. Environ. Res. Risk Asses., 32 (1): 123-139.
DOI: 10.1007/s00477-017-1384-1
Requena, Ana I.; Chebana, Fateh & Ouarda, Taha B. M. J. (2018). A functional framework for flow-duration-curve and daily streamflow estimation at ungauged sites. Adv. Water Resour., 113: 328-340.
DOI: 10.1016/j.advwatres.2018.01.019
Requena, Ana I.; Ouarda, Taha B. M. J. & Chebana, Fateh (2018). Low-flow frequency analysis at ungauged sites based on regionally estimated streamflows. J. Hydrol., 563: 523-532.
DOI: 10.1016/j.jhydrol.2018.06.016
Ben Alaya, Mohammed Ali; Chebana, Fateh & Ouarda, Taha B. M. J. (2017). Multivariate missing data in hydrology – Review and applications. Adv. Water Resour., 110: 299-309.
DOI: 10.1016/j.advwatres.2017.10.002
Benameur, Sana; Benkhaled, Abdelkader; Meraghni, Djamel; Chebana, Fateh & Necir, Abdelhakim (2017). Complete flood frequency analysis in Abiod watershed, Biskra (Algeria). Nat. Hazards, 86 (2): 519-534.
DOI: 10.1007/s11069-016-2703-4
Chebana, Fateh; Ben Aissia, M. A. & Ouarda, Taha B. M. J. (2017). Multivariate shift testing for hydrological variables, review, comparison and application. J. Hydrol., 548: 88-103.
DOI: 10.1016/j.jhydrol.2017.02.033
Kwak, Jaewon; St-Hilaire, André & Chebana, Fateh (2017). A comparative study for water temperature modelling in a small basin, the Fourchue River, Quebec, Canada. Hydrol. Sci. J., 62 (1): 64-75.
DOI: 10.1080/02626667.2016.1174334
Kwak, Jaewon; St-Hilaire, André; Chebana, Fateh & Kim, Gilho (2017). Summer season water temperature modeling under the climate change: Case study for Fourchue River, Quebec, Canada. Water, 9 (5): Art. 346.
DOI: 10.3390/w9050346
Masselot, Pierre; Chebana, Fateh & Ouarda, Taha B. M. J. (2017). Fast and direct nonparametric procedures in the L-moment homogeneity test. Stoch. Environ. Res. Risk Asses., 31 (2): 509-522.
DOI: 10.1007/s00477-016-1248-0
Ouali, Dhouha; Chebana, Fateh & Ouarda, Taha B. M. J. (2017). Fully nonlinear statistical and machine learning approaches for hydrological frequency estimation at ungauged sites. J. Adv. Model. Earth Syst., 9 (2): 1292-1306.
DOI: 10.1002/2016MS000830
Requena, Ana I.; Chebana, Fateh & Ouarda, Taha B. M. J. (2017). Heterogeneity measures in hydrological studies: review and new developments. Hydrol. Earth Syst. Sci., 21 (3): 1651-1668.
DOI: 10.5194/hess-21-1651-2017
Requena, Ana I.; Ouarda, Taha B. M. J. & Chebana, Fateh (2017). Flood frequency analysis at ungauged sites based on regionally estimated streamflows. J. Hydrometeorol., 18 (9): 2521-2539.
DOI: 10.1175/JHM-D-16-0143.1
Vanasse, Alain; Talbot, Denis; Chebana, Fateh; Bélanger, Diane; Blais, Claudia; Gamache, Philippe; Giroux, Jean-Xavier; Dault, Roxanne & Gosselin, Pierre (2017). Effects of climate and fine particulate matter on hospitalizations and deaths for heart failure in elderly: A population-based cohort study. Environ. Int., 106: 257-266.
DOI: 10.1016/j.envint.2017.06.001
Ben Alaya, Mohammed Ali; Chebana, Fateh & Ouarda, T. B. M. J. (2016). Multisite and multivariable statistical downscaling using a Gaussian copula quantile regression model. Clim. Dynam., 47 (5-6): 1383-1397.
DOI: 10.1007/s00382-015-2908-3
Durocher, Martin; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). On the prediction of extreme flood quantiles at ungauged locations with spatial copula. J. Hydrol., 533: 523-532.
DOI: 10.1016/j.jhydrol.2015.12.029
Durocher, Mathieu; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression. Hydrol. Earth Syst. Sci., 20 (12): 4717-4729.
DOI: 10.5194/hess-20-4717-2016
Durocher, Mathieu; Lee, Tae Sam; Ouarda, Taha B. M. J. & Chebana, Fateh (2016). Hybrid signal detection approach for hydro-meteorological variables combining EMD and cross-wavelet analysis. Int. J. Climatol., 36 (4): 1600-1613.
DOI: 10.1002/joc.4444
Genest, C. & Chebana, F. (2016). Copula modeling in hydrologic frequency analysis. In: Singh, V. P., (Ed.). Chow’s Handbook of Applied Hydrology. pp. 30.1-30.9. McGraw Hill.
Lee, Taesam; Kwon, Hyunhan; Modarres, Reza; Kim, Sangdan & Chebana, Fateh (2016). Hydrological and meteorological extreme events in Asia: Understanding, modeling, vulnerability, and adaptation measures. Adv. Meteorol., 2016: Art. 2325384.
DOI: 10.1155/2016/2325384
Masselot, Pierre; Dabo-Niang, Sophie; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). Streamflow forecasting using functional regression. J. Hydrol., 538: 754-766.
DOI: 10.1016/j.jhydrol.2016.04.048
Ouali, Dhouha; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). Quantile regression in regional frequency analysis: a better exploitation of the available information. J. Hydrometeorol., 17 (6): 1869-1883.
DOI: 10.1175/JHM-D-15-0187.1
Ouali, Dhouha; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). Non-linear canonical correlation analysis in regional frequency analysis. Stoch. Environ. Res. Risk Asses., 30 (2): 449-462.
DOI: 10.1007/s00477-015-1092-7
Ouarda, Taha B. M. J.; Charron, Christian & Chebana, Fateh (2016). Review of criteria for the selection of probability distributions for wind speed data and introduction of the moment and L-moment ratio diagram methods, with a case study. Energ. Convers. Manage., 124: 247-265.
DOI: 10.1016/j.enconman.2016.07.012
Ouarda, Taha B. M. J.; Charron, Christian; Marpu, Prashanth R. & Chebana, Fateh (2016). The generalized additive model for the assessment of the direct, diffuse, and global solar irradiances using SEVIRI images, with application to the UAE. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 9 (4): 1553-1566.
DOI: 10.1109/JSTARS.2016.2522764
Requena, Ana I.; Chebana, Fateh & Mediero, Luis (2016). A complete procedure for multivariate index-flood model application. J. Hydrol., 535: 559-580.
DOI: 10.1016/j.jhydrol.2016.02.004
Singh, Shailesh Kumar; McMillan, Hilary; Bárdossy, András & Chebana, Fateh (2016). Nonparametric catchment clustering using the data depth function. Hydrol. Sci. J., 61 (15): 2649-2667.
DOI: 10.1080/02626667.2016.1168927
Ternynck, Camille S.; Ben Alaya, Mohammed Ali; Chebana, Fateh; Dabo-Niang, Sophie & Ouarda, Taha B. M. J. (2016). Streamflow hydrograph classification using functional data analysis. J. Hydrometeorol., 17 : 327-344.
DOI: 10.1175/JHM-D-14-0200.1
Vanasse, Alain; Cohen, Alan; Courteau, Josiane; Bergeron, Patrick; Dault, Roxanne; Gosselin, Pierre; Blais, Claudia; Bélanger, Diane; Rochette, Louis & Chebana, Fateh (2016). Association between floods and acute cardiovascular diseases: a population-based cohort study using a geographic information system approach. Int. J. Environ. Res. Public Health, 13 (2): Art. 168.
DOI: 10.3390/ijerph13020168
Wazneh, Hussein; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). Identification of hydrological neighborhoods for regional flood frequency analysis using statistical depth functio. Adv. Water Resour., 94: 251-263.
DOI: 10.1016/j.advwatres.2016.05.013
Alobaidi, M. H.; Marpu, P. R.; Ouarda, T. B. M. J. & Chebana, F. (2015). Regional frequency analysis at ungauged sites using a two-stage resampling generalized ensemble framework. Adv. Water Resour., 84: 103-111.
DOI: 10.1016/j.advwatres.2015.07.019
Ben Aissia, M. A.; Chebana, F.; Ouarda, T. B. M. J.; Bruneau, P. & Barbet, M. (2015). Bivariate index-flood model for a northern case study / Analyse fréquentielle bivariée basée sur l’indice de crue-cas d’étude au Québec, Canada. Hydrol. Sci. J., 60 (2): 247-268.
DOI: 10.1080/02626667.2013.875177
Ben Alaya, M. A.; Chebana, F. & Ouarda, T. B. M. J. (2015). Probabilistic multisite statistical downscaling for daily precipitation using a bernoulli-generalized pareto multivariate autoregressive model. J. Climate, 28 (6): 2349-2364.
DOI: 10.1175/JCLI-D-14-00237.1
Brahimi, B.; Chebana, F. & Necir, A. (2015). Copula representation of bivariate L-moments: a new estimation method for multiparameter two-dimensional copula models. Statistics, 49 (3): 497-521.
DOI: 10.1080/02331888.2014.932792
Durocher, M.; Chebana, F. & Ouarda, T. B. M. J. (2015). A nonlinear approach to regional flood frequency analysis using projection pursuit regression. J. Hydrometeorol., 16 (4): 1561-1574.
DOI: 10.1175/JHM-D-14-0227.1
Wazneh, H.; Chebana, F. & Ouarda, T. B. M. J. (2015). Delineation of homogeneous regions for regional frequency analysis using statistical depth function. J. Hydrol., 521: 232-244.
DOI: 10.1016/j.jhydrol.2014.11.068