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Dr Jeremie Houssineau

I am a Harrison Early-Career Assistant Professor in the Department of Statistics of the University of Warwick.

My research interests cover:

  • Bayesian Statistics and Monte Carlo methods, in particular multilevel and multi-index Monte Carlo methods for the approximation of filtering and smoothing distributions related to differential equations with randomness.
  • Spatial point processes and their application to the representation of populations made of a random number of individuals, each having a random state, with a focus on the representation of specific information about individuals via point processes on the space of probability measures.
  • Statistical analysis and methodology for the estimation of multi-object dynamical systems with, more specifically, the study of the identifiability of parameters in these systems.
  • Representation of uncertainty motivated by the use of outer (probability) measures as upper bounds on the set of probability measures on a given state space.


I am teaching ST337/ST405 Bayesian forecasting and intervention.

My office hours are:

  • Tuesdays: 10.30am to 11.30pm
  • Thursdays: 10.30am to 11.30pm

If you want to come just give me a call on Teams – instructions are here (link). If I am already in a call then drop me a message in Teams chat and I will call you back.

If you are unable to make it for any of these office hours, please email me to decide on another time.

Please see the teaching page of my personal website for lecture notes.


  • J. Houssineau and D.E. Clark: On a representation of partially-distinguishable populations. Statistics, 54(1), 23-45, 2020
  • J. Houssineau, A. Jasra and S.S. Singh: On Large Lag Smoothing for Hidden Markov Models. SIAM Journal on Numerical Analysis, 57(6), 2812-2828, 2019.
  • J. Houssineau, S.S. Singh and A. Jasra: Identification of multi-object dynamical systems: consistency and Fisher information. SIAM Journal on Control and Optimization, 57(4), 2603-2627, 2019
  • E.D. Delande, J. Houssineau, J. Franco, C. Frueh, D.E. Clark and M. Jah: A new multi-target tracking algorithm for a large number of orbiting objects. Advances in Space Research, 64(3), 645-667, 2019
  • M. Üney, J. Houssineau, E.D. Delande, S.J. Julier and D.E. Clark: Fusion of finite set distributions: Pointwise consistency and global cardinality. IEEE Transactions on Aerospace and Electronic Systems, 55(6), 2759-2773, 2019.
  • B. Ristić, J. Houssineau and S. Arulampalam: Robust target motion analysis using the possibility particle filter. IET Radar, Sonar & Navigation, 13(1), 18-22, 2019.
  • J. Houssineau and D.E. Clark: Multi-target filtering with linearized complexity. IEEE Transactions on Signal Processing, 66(18), 4957-4970, 2018.
  • E.D. Delande, J. Houssineau and M. Jah: Physics and human-based information fusion for improved resident space object tracking. Advances in Space Research, 62(7), 1800-1812, 2018.
  • A.N. Bishop, J. Houssineau, D. Angley and B. Ristić: Spatio-temporal tracking from natural language statements using outer probability theory. Information Sciences, 463-464, 56-74, 2018.
  • J. Houssineau, A. Jasra and S.S. Singh: Multilevel Monte Carlo for Smoothing via Transport Methods. SIAM Journal on Scientific Computing, 40(4), A2315-A2335, 2018.
  • J. Houssineau and A.N. Bishop: Smoothing and filtering with a class of outer measures. SIAM/ASA Journal on Uncertainty Quantification, 6(2), 845-866, 2018.
  • With D. Crisan, P. Del Moral and A. Jasra: Unbiased Multi-index Monte Carlo. Stochastic Analysis and Applications, 36(2), 257-273, 2018.
  • I. Schlangen, E.D. Delande, J. Houssineau and D.E. Clark: A second-order PHD filter with mean and variance in target number. IEEE Transactions on Signal Processing, 66(1), 48-63, 2018.
  • E.D. Delande, C. Früh, J. Franco, J. Houssineau and D.E. Clark: Novel Multi-Object Filtering Approach for Space Situational Awareness. Journal of Guidance, Control, and Dynamics; Special Issue on Space Domain Awareness, 41(1), 59-73, 2018.
  • S. Nagappa, E.D. Delande, D.E. Clark and J. Houssineau: A tractable forward-backward CPHD smoother. IEEE Transactions on Aerospace and Electronic Systems, 53(1), 2017.
  • Y. Pailhas, J. Houssineau, Y. Petillot and D.E. Clark: Tracking with MIMO sonar systems: applications to harbour surveillance. IET Radar, Sonar & Navigation, 11(4), 629-639, 2017.
  • D.S. Bryant, E.D. Delande, S. Gehly, J. Houssineau, D.E. Clark and B.A. Jones: The CPHD filter with target spawning. IEEE Transactions on Signal Processing, 65(5), 13124-13138, 2016.
  • J. Houssineau, D.E. Clark, S. Ivekovič, C.S. Lee and J. Franco: A unified approach for multi-object triangulation, tracking and camera calibration. IEEE Transactions on Signal Processing, 64(11), 2934-2948, 2016.
  • I. Schlangen, J. Franco, J. Houssineau, E.W. Pitkeathly, D.E. Clark, I. Smal and C. Rickman: Multiple object tracking with marker-less stage drift correction in super-resolution microscopy. IEEE Journal of Selected Topics in Signal Processing, Special Issue on Advanced Signal Processing in Microscopy and Cell Imaging, 10(1), 193-202, 2016.
  • With P. Del Moral: Particle association measures and multiple target tracking. In: T. Matsui and G.W. Peters (eds.) Theoretical Aspects of Spatial-Temporal Modeling. Springer Japan, 2015.
  • E.D. Delande, M. Üney, J. Houssineau and D.E. Clark: Regional variance for multi-object filtering. IEEE Transactions on Signal Processing, 62(13), 3415-3428, 2014.
  • D.E. Clark and J. Houssineau: Faà di Bruno’s formula and spatial cluster modelling. Spatial Statistics, 6, 109-117, 2013.

For preprints and conference articles, please visit my personal web page.


Dr Jeremie Houssineau
Department of Statistics
University of Warwick
Coventry, CV4 7AL
United Kingdom


jeremie.houssineau (at)


MSB 2.15