Communications

List of Talks and Seminars:

— Why is the Martingale so Useful? in Probability and Statistics. Statistical and Probability Conference, University Paris-Saclay, IUT de Cachan, November 12, 2024.

— Asymptotic properties of maximum likelihood estimator for affine diffusion based on continuous time observations. MaPSFA Laboratory Seminar, February 2024. 

— Statistics of diffusion with martingales techniques. Statisticians and Probabilists Meetings (RSP), University of Sousse, November 2022.

— Parametric estimation for some diffusions. LAMMDA Laboratory Seminar, ESSTHS, University of Sousse, April 2018. 

— Parametric estimation with martingale techniques. LAMMDA Laboratory Seminar, ESSTHS, University of Sousse, April 2016.

— Weighted limit theorems for continuous-time vector martingales with explosive and mixed growth. University of Franche-Comté, MCF Audition in Statistics, May 2011.

— Limit theorems for continuous-time vector martingales with mixed growth and statistical applications. AgroParisTech Engineering School, MCF Audition in Statistics, May 2011.

— Limit theorems for continuous-time vector martingales with explosive growth and statistical applications. 43rd Statistical Days, SFdS, May 2011.

— Asymptotic properties of the least squares estimator for a Gaussian autoregressive process using a logarithmic averaging method. Workgroup Probability and statistics, Galilee Institute, University Paris 13, France, April 2011.

— Limit theorems for continuous-time vector martingales and statistical applications. Versailles Seminar, France, November 2009. 

— Identification of an Ornstein-Uhlenbeck process by an averaging method. Young Researchers Seminars, Versailles, France, May 2009. 

— Identification of a stable Gaussian autoregressive process by the logarithmic averaging method. Workgroup Probability and statistics, Versailles Mathematics Laboratory (LMV), University of Versailles, France, May 2006.