THOMAS Maud

Senior Lecturer

[email protected]

https://sites.google.com/site/maudthomaspro/

Laboratoire de Probabilités, Statistique et Modélisation LPSM (UMR 8001)

Expertise

Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.

Communities

Mathematics, Computer Science & Robotics

Skills

Climate modeling, Data analysis, Machine learning, Statistical learning

Activities

Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.

Selected publications

1) M Thomas and H Rootzén. (2021). Real-time prediction of severe influenza epidemics using Extreme Value Statistics.

2) S Farkas, O Lopez and M Thomas. (2021). Cyber claim analysis through Generalized Pareto Regression Trees with applications to insurance pricing and reserving. Insurance: Mathematics and Economics. 98 92-105
M Thomas, M Lemaitre, M.L Wilson, C Viboud, Y. Yordanov, H Wackernagel and F Carrat. (2016). Applications of Extreme Value Theory In Public Health. PLoS ONE 11(7)

3) S Boucheron and M Thomas. (2015). Tail index estimation, concentration and adaptivity. Electronic Journal of Statistics, 9(2) 2751-2792

4) S Boucheron and M Thomas. (2012). Concentration inequalities for order statistics. Electronic Communications in Probability, 17 1-12

International collaborations

Chalmers University of technology (Sweden)

Industrial collaborations

Mission Risques Naturels,

Natixis