Jeremie Houssineau

I am an Assistant Professor in the Department of Statistics of the University of Warwick.
My research interests include:

Representation of uncertainty motivated by the use of a combination of possibility and probability theory to model both epistemic and aleatoric uncertainty (see [12, 14] and [S3, S4]), with applications to robust inference ([17] and [S7]), high-dimensional inference, reinforcement learning and multi-target tracking ([24] and [S6])
Bayesian Statistics and Monte Carlo methods, in particular multilevel Monte Carlo methods for the approximation of filtering and smoothing distributions related to differential equations with randomness (see [11, 13, 22] and [S5])

I am also on the Editorial Board of Statistics and Computing and of the AIMS journal Foundations of Data Science.

Zeng Jiajie (2016-2020): Computational Methods for Multiple Target Tracking (with Ajay Jasra)
Jake Thomas (2019-2023): Reinforcement learning (RL) via possibility theory
Chatchuea Kimchaiwong (2019-2023): Possibilistic Ensemble Kalman Filtering (with Adam Johansen)
Ting Zhu (2021-2025): Multi-agent RL – agent modelling other agents (with Giovanni Montana)
Sharlin Utke (2021-2025): A relational approach to multi-agent RL (with Giovanni Montana)

I am the main organiser of the 50th anniversary conference of the Department of Statistics at the University of Warwick, to be held on September 7-9, 2022
I was the co-chair of the First International Summer School on Finite Set Statistics, held in Edinburgh July 22-26, 2013 (Lecture notes).

Assistant Professor at the University of Warwick