Smoothing algorithms for state–space models M Briers, A Doucet, S Maskell Annals of the Institute of Statistical Mathematics 62 (1), 61, 2010 | 314 | 2010 |

Smoothing algorithms for state–space models M Briers, A Doucet, S Maskell Annals of the Institute of Statistical Mathematics 62 (1), 61, 2010 | 314 | 2010 |

Fast particle smoothing: If I had a million particles M Klaas, M Briers, N De Freitas, A Doucet, S Maskell, D Lang Proceedings of the 23rd international conference on Machine learning, 481-488, 2006 | 181 | 2006 |

Efficient block sampling strategies for sequential Monte Carlo methods A Doucet, M Briers, S Sénécal Journal of Computational and Graphical Statistics 15 (3), 693-711, 2006 | 158 | 2006 |

Sequential auxiliary particle belief propagation M Briers, A Doucet, SS Singh 2005 7th International Conference on Information Fusion 1, 8 pp., 2005 | 73 | 2005 |

A rao-blackwellised unscented Kalman filter M Briers, SR Maskell, R Wright Sixth International Conference of Information Fusion, 2003. Proceedings of …, 2003 | 68 | 2003 |

A unifying framework for multi-target tracking and existence J Vermaak, S Maskell, M Briers 2005 7th International Conference on Information Fusion 1, 9 pp., 2005 | 34 | 2005 |

Tracking using a radar and a problem specific proposal distribution in a particle filter S Maskell, M Briers, R Wright, P Horridge IEE Proceedings-Radar, Sonar and Navigation 152 (5), 315-322, 2005 | 32 | 2005 |

Multi-target out-of-sequence data association: Tracking using graphical models SR Maskell, RG Everitt, R Wright, M Briers Information Fusion 7 (4), 434-447, 2006 | 30 | 2006 |

Online sensor registration J Vermaak, S Maskell, M Briers 2005 IEEE Aerospace Conference, 2117-2125, 2005 | 26 | 2005 |

Multipath track association for over-the-horizon radar using Lagrangian relaxation MG Rutten, S Maskell, M Briers, NJ Gordon Signal and Data Processing of Small Targets 2004 5428, 452-463, 2004 | 23 | 2004 |

Fast mutual exclusion S Maskell, M Briers, R Wright Signal and Data Processing of Small Targets 2004 5428, 526-536, 2004 | 22 | 2004 |

Multi-target out-of-sequence data association SR Maskell, RG Everitt, R Wright, M Briers | 20 | 2004 |

A note on target distribution ambiguity of likelihood-free samplers SA Sisson, GW Peters, M Briers, Y Fan arXiv preprint arXiv:1005.5201, 2010 | 18 | 2010 |

A note on target distribution ambiguity of likelihood-free samplers SA Sisson, GW Peters, M Briers, Y Fan arXiv preprint arXiv:1005.5201, 2010 | 18 | 2010 |

Calibration and filtering for multi factor commodity models with seasonality: incorporating panel data from futures contracts GW Peters, M Briers, P Shevchenko, A Doucet Methodology and Computing in Applied Probability 15 (4), 841-874, 2013 | 17 | 2013 |

Distributed tracking of stealthy targets using particle filters SR Maskell, KR Weekes, M Briers IET Digital Library, 2006 | 16 | 2006 |

Improved Monte Carlo methods for state-space models M Briers University of Cambridge, 2007 | 12 | 2007 |

Tracking a variable number of targets using the existence joint probabilistic data association filter J Vermaak, S Maskell, M Briers University of Cambridge, Department of Engineering, 2005 | 12 | 2005 |

Comparison of Kalman-based methods with particle filter for raid tracking R Wright, SR Maskell, M Briers SEW Technology Domain, 2003 | 10 | 2003 |