Faculty - Dr. Mohamed Belalia

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Dr. Mohamed Belalia

Associate Professor
Ph.D. (Sherbrooke)
Mohamed.Belalia@uwindsor.ca
519-253-3000 Ext. 3020
Lambton Tower: 9-105

 

Research Interests

  • Copula: Estimation and applications in high dimension,
  • Semi and nonparametric statistics,
  • Independence and conditional independence tests,
  • Asymptotic statistics.

Recent Publications

  • Belalia, M. (2016). On the asymptotic properties of the Bernstein estimator of the multivariate distribution function. Statistics & Probability Letters,110:249–256, 2016. 

  • Belalia, M., Bouezmarni, T., and Leblanc, A. (2017). Conditional distribution estimators using Bernstein polynomials. Computational Statistics and Data Analysis 111(2017), 166-182.

  • Belalia, M., Bouezmarni, T., Camirand, L., F., and Taamouti, A. (2017) Testing Independence Based on Bernstein Empirical Copula and Copula Density. Journal of Nonparametric Statistics. 29 (2017). Issue 2. http://dx.doi.org/10.1080/10485252.2017.1303063.

  • Belalia, M., Bouezmarni, T., and Leblanc, A. (2018). Bernstein Conditional Density Estimation with Application to Conditional Distribution and Regression Functions. Under review.

  • Mesfiuoi, M., Bouezmarni, T. and Belalia, M. Copula-based Link functions in binary or multinomial regression models. Submitted.

Talks

  1. January 2018: Seminar of statistics, Department of Mathematics, Université du Québec à Montréal, Montréal, Canada.
  2. January 2018: Seminar of statistics, Department of Mathematics, Université de Sherbrooke, Sherbrooke, Canada.
  3. June 2017: Meeting of the Statistical Society of Canada (SSC),Winnipeg, Manitoba, Canada.
  4. June 2015: Meeting of the Statistical Society of Canada (SSC), Halifax, Canada.
  5. February 2015: Seminar of statistics, Department of Mathematics,Université de Sherbrooke, Sherbrooke, Canada.
  6. December 2014: CRM-CANSSI Workshop on New Horizons in Copula Modelling, Montréal, Canada.
  7. May 2014: Meeting of the Statistical Society of Canada (SSC), Toronto, Canada.

     

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