Pour plus d'information sur mes projets de recherche, consultez ce lien: https://www.bouchrarnasri.com/infectious-diseases-modelling

Prof. Nasri est membre du corps professoral de biostatistique au sein du département de médecine sociale et préventive. Prof. Nasri est une boursière FRQS Junior 1 en intelligence artificielle en santé et en santé numérique. Elle est titulaire d'une subvention à la découverte du CRSNG en statistique pour la modélisation de la dépendance pour les données complexes. Prof. Nasri et son équipe travaillent principalement sur le développement de méthodes d'apprentissage statistique, de méthodes d'intelligence artificielle et de modèles mathématiques/statistiques pour les maladies infectieuses et les risques  liés aux changements climatiques. Prof Nasri a complété un doctorat sous la supervision de Taoufik Bouezmarni, Taha Ouarda, et André St-Hilaire, un MSc sous la supervision de Salah El-Adlouni et Taha Ouarda à l'INRS-ETE sur le développement d'approches statistiques pour les extrêmes liés aux changements climatiques et un diplôme d'Ingénieur d'État (eq. MSc) en Statistiques à l'INSEA. Elle a également effectué un stage postdoctoral en statistique théorique à McGill et HEC Montréal financé par le FRQNT, CANSSI et GERAD. Elle a écrit et co-écrit plusieurs articles sur les séries temporelles, la dépendance spatiale, les statistiques multivariées, la modélisation compartimentale, l'exploration de textes et la synthèse de données probantes. 

• Membre de la Société Statistique du Canada
• Membre du groupe de probabilité de la Société Statistique du Canada
• Membre du comité pour l'équité, la diversité et l'inclusion de la Société Statistique du Canada
• Membre de l'Association des Statisticiennes et Statisticiens du Québec

Je suis à la recherche d'étudiant.e.s intéressé.e.s par les méthodes statistiques, la biostatistique, l'épidémiologie, l'impact des changements climatiques sur la santé publique et la modélisation des maladies infectieuses.

https://www.bouchrarnasri.com/infectious-diseases-modelling

https://www.bouchrarnasri.com/current-hqp

• Jhoana P. Romero-Leiton
• Ariel Mundo Ortiz
• Kamal Raj Acharya
• Mohamed-Hamza Ibrahim
• Idriss Sekkak

https://www.bouchrarnasri.com/current-hqp

• Claudia Ximena Robayo Gonzalez
• Mamadou Yamar Thioub
• Rado Malalatiana Ramasy Razafindratovo
• Rawda Berkat
• Elda Kokoè Elolo Laison
• Adrien Saucier

https://www.bouchrarnasri.com/current-hqp

• Fatima El-Mousawi
• Srikanth Boligarla
• Jiaxin Li
• Raja Mahadevan
• Austen Ng
• Jack Lee
• Yijun Yin
• Venkataraman Muthuramalingam
• Jang Park

• Articles scientifiques : https://www.bouchrarnasri.com/scientific-articles
• Logiciels :  https://www.bouchrarnasri.com/r-packages

Soumis

1. Sekkak, I. and Nasri, B. (2022+) An optimal control approach for public health interventions on an Epidemic-Viral model in deterministic and stochastic environments.

2. Sekkak, J. D. Kong, M. El Fatini and B. Nasri. (2022+) Containing and managing an emerging disease outbreak: a stochastic modelling approach.  

3. Sekkak, I.*, Nasri, B., * and Rémillard, B.*, Kong, J., El Fatini, M. (2022+) Higher order perturbation and data analysis of an SIQR model with short- and long-term prophylaxis.

4. Driss, B.*,  El Fatini, M.*, El Hichamy, I*, Nasri, B*, Sekkak, I*.  (2022+) Stochastic near-optimal control for an epidemic treatment model with relapse.

5. Driss, B.*,  El Fatini, M.*, El Hichamy, I*, Nasri, B*, Sekkak, I*.  (2022+) Stochastic near-optimal control for an epidemic treatment model with relapse and reinfection incorporating Lévy processes.

6. P. Krupskii, B.R. Nasri and B.N. Rémillard. (2022+) Copula-based mixed regression models.

7. Nasri, B. R. , B. N. Rémillard, and M.Y. Thioub. (2022+)  Goodness-of-fit tests and regime selection procedures for general autoregressive hidden Markov Models with covariates (application to COVID data). 

8. B. R. Nasri and B. N. Rémillard. (2022+) Semiparametric inference for copulas of arbitrary distributions. 

9. B. R. Nasri and B. N. Rémillard. (2022+) Copula-based dependence measures for arbitrary data.

10. Gabet,  S., Thierry, B.,  Wasfi, R.,  De Groh, M.,  Simonelli, G.,  Hudon, C.,  Lessard, L., Dubé, E., Nasri, B., Kestens, Y.,  Moullec, G. (2022+) How is the COVID-19 pandemic impacting our life, mental health, and well-being? Design and preliminary findings of the pan-Canadian longitudinal COHESION Study.    

11.  Song , H., Ogden, N., Rees, E., Deng, Z.,  Nasri, B., Moyles, I., Jin, Z., Zhu, H. (2022+) Is there a risk of Chikungunya outbreak with autochthonous transmission in Ontario, Canada? 

12. K. Acharya, J. Romero-Leiton, J. Parmley, and B. Nasri.  (2022+) An identification of the elements of models
    on antimicrobial resistance of bacteria for assessing their usefulness and usability in One-Health
    decision making: A protocol for scoping review. 

13. J. Romero-Leiton, K. Acharya, J. Parmley, J. Arino, and B. Nasri. (2022+) Modelling the transmission of
    dengue, zika and chikungunya: a scoping review protocol.

14. S. Boligarla, E. K. Elolo Laison, J. F. Li, R. Mahadevan, A. Ng, Y. Lin, M. Y. Thioub, B. Huang,
    M. Hamza Ibrahim, and B. Nasri. (2022+) Leveraging Machine Learning Approaches for Predicting Potential
    Lyme Disease Cases and Incidence Rates in United States Using Twitter.

15. Y. Bodryzlova, B. Nasri, Y. Kestens, E. Bélanger, and G. Moullec. (2022+) Contributors to the positive
    cognitive health of older adults.

Publiés

1. Nasri, R.B. (2022). Test of serial dependence for multivariate time series with arbitrary distributions. Journal of Multivariate Analysis.

2. Nasri BR, Remillard BN, Neslehova JG, Genest C: MixedIndTests: Tests of Randomness and Tests of Independence. https://cran.r-project.org/web/packages/MixedIndTests/index.html

3. Driss, B.*,  El Fatini, M.*, El Hichamy, I*, Nasri, B*, Sekkak, I*.  (2022) Near-optimal stochastic control for radiotherapy treatment in a random cancer model. Systems and Control Letters.

4. Csörgő M, Dwason D, Nasri BR, Rémillard BN . (2022) A review of empirical processes and its applications in probability and statistics: A random walk through empirical processes. Canadian Journal of Statistics.

5. Rees EE, Avery BP, Carabin H, Carson CA, Champredon D, Dougherty B, Nasri BR, Ogden NH (2022). Effectiveness of non-pharmaceutical interventions to reduce SARS-CoV-2 transmission in Canada and their association with COVID-19 hospitalisation rates. Can Commun Dis Rep. 

6. Yuan, P., Aruffo, E., Ogden, N., Tan, Y., Gatov, E., Gournis, E., Collier, S., Nasri, B., Moyles, I., Li, Q., Zhu, H. (2022). School and community reopening during the COVID-19 pandemic: a mathematical modelling study. Royal Society Open Science.

7. Nasri, R. B., B. R. Rémillard,  and T. Bahraoui (2022). Change-point problems for multivariate time series using pseudo-observations. Journal of Multivariate Analysis, 187, 104857

8. Nasri BR, Remillard BN : changepointTests: Change Point Tests for Joint Distributions and Copulas. https://cran.r-project.org/web/packages/changepointTests/changepointTests.pdf

9. Nasri BR, Rémillard BN, Szyszkowicz B, Vaillancourt J. (2021). A conversation with Don Dawson. Statistical Science.

10. Nasri, R. B., É. Boucher, L. Perreault, B. R. Rémillard, D. Huard, and A. Nicault (2020). Hydrological regime variability over the Quebec-Labrador peninsula (Canada) during the last centuries. Water Resources Research.

11. Aubry-Wake, C., [...], B. R. Nasri, [...] (2020). A new flow for Canadian young hydrologists: Key scientific challenges addressed by research cultural shifts. Hydrological Processes. 

12. Nasri, B. R. (2020). On non-central squared copulas. Statistics and Probability Letters. 

13. Nasri, B.R. NCSCopula: Non-Central Squared Copula Models Estimation Version 1.0.1. https://cran.r-project.org/web/packages/NCSCopula/index.html

14. Nasri, B. R. , B. N. Rémillard, and M.Y. Thioub (M.Sc. student) (2020) . Goodness-of-fit for regime-switching copula models with application to option pricing. Canadian Journal of Statistics. 

15. Nasri, B., and B. Rémillard (2019). Copula-based dynamic models for multivariate time series. Journal of Multivariate Analysis 172, 107-121. 

16. Nasri, B.R. and Thioub, M.Y (2019). GenHMM1d: Goodness-of-Fit for Univariate Hidden Markov Models Version 0.1.0. https://cran.r-project.org/web/packages/GenHMM1d/index.html

17. Nasri, B.R., and B.N. Rémillard (2019). GaussianHMM1d: Inference, Goodness-of-Fit and Forecast for Univariate Gaussian Hidden Markov Models Version 1.0.1. https://cran.r-project.org/web/packages/GaussianHMM1d.

18. Nasri, B., B. Rémillard, and T. Bouezmarni (2019). Semi-Parametric Copula-Based Models Under Non-Stationarity. Journal of Multivariate Analysis 173, 347-365. 

19. Rémillard, B., B. Nasri, and M. Ben Abdellatif (2018). Replication methods for financial indexes. In Innovations in Insurance, Risk and Asset Management, Aleksey Min, Matthias Scherer and Rudi Zagst editors, Springer Proceeding in Mathematics & Statistics.

20. Thioub, M.Y., B. Nasri, R.Pieugueu and B. Rémillard (2018). HMMcopula: Markov regime switching copula models estimation and goodness of fit. https://cran.r-project.org/web/packages/HMMcopula/index.html.

21. Nasri, B., T. Bouezmarni, A. St-Hilaire, and T.B.M.J. Ouarda (2017). Nonstationary hydrologic frequency analysis using B-Spline quantile regression. Journal of Hydrology 554, 532-544. PDF

22. Rémillard, B., B. Nasri, and T. Bouezmarni (2017). On copula-based conditional quantile estimators. Statistics and Probability Letters 128, 14-20. 

23. Nasri, B., Y. Tramblay, S. El Adlouni, E. Hertig, and T.B.M.J. Ouarda (2016). Atmospheric predictors for annual maximum precipitation in North Africa. Journal of Applied Meteorology and Climatology 55:4, 1063-1076. 

24. Caron, A., P. Pannetier, M. Rosabal-Rodriguez, H. Budzinski, M. Lauzent, P. Labadie, B. Nasri, F. Pierron, M. Baudrimont, et P. Couture (2016). Organic and inorganic contamination impacts on metabolic capacities in American and European yellow eels. Canadian Journal of Fisheries and Aquatic Sciences.10.1139/cjfas-2015-0473.  

25. Nasri, B., S. El Adlouni, and T.B.M.J Ouarda (2013). Bayesian estimation for GEV-B-Spline model. Open Journal of Statistics 3:2, 118-128. 

Communications comme conférencière invitée.

• https://www.bouchrarnasri.com/talks

2023​

• May 2023: The Collaborative Statistician: Learning the Tricks of the Trade. Biostatistics Section, Annual meeting of Statistical Society of Canada 2023.

• April 2023: Copulas methods and applications. The 12th Workshop on High-Dimensional Data Analysis (HDDA-XII) and The 10th Days of Econometrics for Finance.

• April 2023: Change-point problems for multivariate time series using pseudo-observations. The 12th Workshop on High-Dimensional Data Analysis (HDDA-XII) and The 10th Days of Econometrics for Finance.

• March 2023: Copula-based mixed regression models. Biostatistics Seminar. McGill U.

• March 2023: Goodness-of-fit tests and regime selection procedures for general autoregressive hidden Markov Models with covariates. Statistics Seminar. Alberta U.

• February 2023: ​ Artificial Intelligence in health sciences. 2nd edition of the International Conference on Artificial Intelligence \& Industrial Applications A2IA'2022,  Meknes (Morocco) (hybrid).   (Keynote Speaker)​

2022​

• December 2022: Spatio-temporel modelling. Computational and Methodological Statistics (CMStatistics 2022), London (UK).

• December 2022: Artificial Intelligence for Infectious diseases. Sanofi lecture series.

• November 2022:  Panel discussion. China-Canada Symposium on Modelling, Prevention and Control of Zoonoses, China.

• November 2022:  Artificial Intelligence for Infectious diseases. China-Canada Symposium on Modelling, Prevention and Control of Zoonoses, China.

• November 2022: Non-central squared copulas: Properties and applications. Melbourne U, Melbourne (Australie).

• October 2022: Artificial Intelligence for Infectious diseases. Symposium on Machine Learning and Data Modelling in the Biomedical Sciences (York University).

• August 2022: 1st International Conference of CSDA \& EcoSta Workshop on Statistical Data Science, Bologna (Italy). Title: Non-central squared copulas: Properties and applications.

• August 2022: The 2022 joint Statistical meeting. Washington, DC. A random walk through empirical processes.

• June 2022: Annual Meeting of the Canadian Mathematical Society. St-John's (Canada). Test of serial dependence for multivariate time series with arbitrary distributions.

• June 2022: 5th International Conference on Econometrics and Statistics (EcoSta 2022), Japan. Title: Spatio-temporal modelling of infectious diseases dynamics

• May 2022: Annual Meeting of the Statistical Society of Canada, Online Title: Change-point problems for multivariate time series using pseudo-observations.

• April 2022: ESPUM, Montreal. Midi-Causerie - L'utilisation des réseaux sociaux pour la surveillance de maladies infectieuses

• Mars 2022: Seminar at StatScale seminar (Cambridge U and Lancaster U). Title: Change-point problems for multivariate time series using pseudo-observations. 

​​2021​

• December 2021: 14th International Conference of the ERCIM WG Computational and Methodological statistics (CMstatistics 2021), London (UK). Title:  est of serial dependence for multivariate time series with arbitrary distributions.

• November 2021: 2021 AI/MDRS CMDO. Title: Social media & Covid-19 pandemic

• November 2021: CANSSI Showcase: EDI Townhall (CANSSI & SSC). Title: The SSC-EDI committee, role and goals 

• October 2021: StatLab, CRM. Title: Test of serial dependence for multivariate time series with arbitrary distributions

• September 2021: Seminar at University of Toronto, Toronto. Title: Non-central squared copulas: Properties and applications.

• September 2021: 2021 Mathematics-Tianyuan China-Canada Symposium on Modelling, Prevention, and Control of Infectious Diseases, Online, China. Title: School and community reopening during the COVID-19 pandemic: a mathematical modelling study.

​2020

• October 2020: Seminar at Sherbrooke University, Sherbrooke. Title: Non-central squared copulas: Properties and applications.

• June 2020 : Table ronde sur La santé à l'heure des changements climatiques. Forum de la rel ve  tudiante pour la sant  au Québec (FRESQue), Montréal.

• February 2020: Seminar at McGill University, Montréal. Title: Non-central squared copulas: Properties and applications.

​2019

• December 2019: 12th International Conference of the ERCIM WG Computational and Methodological statistics (CMstatistics 2019), London (UK). Title: Copula-based dynamic models for multivariate time series.

​2018

• September 2018: Seminar at Windsor University, Windsor. Title: Copula-based nonstationary conditional quantiles.

• June 2018: Annual Meeting of the Statistical Society of Canada, Montréal. Title: Non-parametric change point problems using multipliers.

• February 2018: Seminar at GERAD, Montréal. Title: copula-based non-stationary conditional quantiles.

2017

• December 2017: 10th International Conference of the ERCIM WG Computational and Methodological statistics (CMstatistics 2017), London (UK). Title: Nonstationary copula-based conditional quantile approach.

• October 2017: Seminar at Université Laval, Québec. Title: Nonstationary copula-based conditional quantile approach.

• July 2017: 61st  International  Statistical Institute, Marrakech (Morocco). Title: On copula-based conditional quantile estimators.

• July 2017: 4th days of Econometrics for Finance, Rabat (Morocco). Title: On copula-based conditional quantile estimators.

2015

• November 2015: Seminar at Université de Sherbrooke, Sherbrooke. Title: Copula-based quantile estimation and inference.

• March 2015: Annual meeting of Les filles et les sciences, Qu\'ebec. Title: Promotion of statistics, statistically probable.

• February 2015: Interview for Futur simple-Radio 89.1, Qu\'ebec. Discussion on extremes events in statistics (30 min).

2013

• November 2013: Statistics. Pedagogical day at Cegep de Ste-Foy, discovering exciting professions in the field of numbers.