Published articles

​Preprint​s

    Applied mathematics

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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.

   Statistics​

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

2. 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). 

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

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

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   Applied Quantitative methods to health Sciences

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1. 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.    

2. 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.

3. 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.

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

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1. K. Acharya, J. Romero-Leiton, J. Parmley, and B. Nasri.  (2023) An identification of the elements of modelson antimicrobial resistance of bacteria for assessing their usefulness and usability in One-Healthdecision making: A protocol for scoping review. 

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

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

9. 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.

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

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

12. 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. PDF

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

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

15. 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

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

17. 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. PDF

18. 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.  PDF

19. 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. PDF