Current work

G Peters, M Briers, and P Shevchenko, Filtering in Commodities.

M Briers and L Quintero, Improved Parameter Estimation in Non-Linear Non-Gaussian State-Space Models using the EM algorithm.

Submitted

S Sisson, G Peters, Y Fan, and M Briers, Likelihood-free samplers.

2009

M Briers, A Doucet, and S R Maskell, Smoothing algorithms for state-space models, to appear in Annals of the Institute of Statistical Mathematics (pdf, version 0.1)

2008

M Briers, Online Marginal Smoothed MAP Estimation using Sequential Monte Carlo, SAMSI workshop on Sequential Monte Carlo, NC, USA, September 2008.

M Ebden, M Briers, and S Roberts, Decentralized Predictive Sensor Allocation, 47th IEEE Conference on Decision and Control, Cancun, Mexico, pp 1702-7, 9-11 December 2008 (pdf)

2007

M Briers, Improved Monte Carlo Methods for State-Space Models, PhD Thesis (pdf)

 

2006

S R Maskell, R G Everitt, R Wright and M Briers. Multi-Target Out-of-Sequence Data Association: Tracking Using Graphical Models. Information Fusion Journal, 7(4):434-447, December 2006.

M Briers,  A Doucet, and R Gottardo, Density and Marginal Likelihood Estimation for Markov chain Monte Carlo with Applications in Bioinformatics, Joint Statistical Meeting 2006.

M Klass, M Briers, N de Freitas, A Doucet, S R Maskell, and D Lang, Fast Particle Smoother: If I Had a Million Particles, 23rd International Conference on Machine Learning (pdf).

A Doucet, M Briers, and S Senecal, Efficient Block Sampling Strategies for Sequential Monte Carlo Methods, Journal of Computational and Graphical Statistics, 15(3):693-711, 2006 (pdf).

M Briers, A Doucet, S R Maskell, and P R Horridge, Fixed-lag sequential Monte Carlo data association, SPIE 2006.

S R Maskell, K Weekes, and M Briers, Distributed Tracking of Stealthy Targets Using Particle Filters, IEE Seminar on Target Tracking: Algorithms and Applications.

2005

M Briers, S R Maskell, S Reece, S J Roberts, I Rezek, V D Dang, A Rogers, and N R Jennings, Dynamic sensor coalition formation to assist the distributed tracking of targets: Application to wide-area surveillance, IEE Conference on Homeland Security, 2005.

M Briers, A Doucet, and S S Singh, Sequential Auxiliary Particle Belief Propagation, International Conference on Information Fusion, 2005 (pdf).

J Vermaak,S R Maskell, M Briers, and P Perez, Multi-target tracking and existence, International Conference on Information Fusion, 2005.

J Vermaak, S R Maskell, M Briers, and P Perez, Bayesian visual tracking with existence process, International Conference Image Processing, 2005.

J Vermaak, S R Maskell, M Briers, Online Sensor Registration, IEEE Aerospace Big Sky conference, 2005 (pdf).

2004

M Briers, Robust Interpretation of Structured Information, PhD Transfer Report, August 2004.

M Briers, A Doucet, S Maskell, Smoothing Algorithms for State-Space Models, Cambridge University Engineering Department Technical Report, CUED/F-INFENG/TR.498, 2004.

S R Maskell, M Briers, R Wright, Efficient Hypothesis Management, Proceedings of SPIE 2004.

M Rutten, S R Maskell, M Briers, and N J Gordon, Multipath Track Association for over the horizon radar using Lagrangian relaxation, Proceedings of SPIE, 2004.

S R Maskell, R G Everitt, R Wright, and M Briers Multi-Target Out-of-Sequence Data Association, Conference of Information Fusion, 2004 (pdf).

S R Maskell, M Briers, and R Wright, Tracking using a radar and a problem specific proposal distribution in a particle filter, IEE Conference on Multi-Target Tracking, 2004.