Bayesian inference, Monte Carlo sampling and operational risk GW Peters, SA Sisson Journal of Operational Risk 1 (3), 27-50, 2006 | 61 | 2006 |

Model uncertainty in claims reserving within Tweedie's compound Poisson models GW Peters, PV Shevchenko, MV Wüthrich Astin Bulletin 39 (01), 1-33, 2009 | 42 | 2009 |

On sequential Monte Carlo, partial rejection control and approximate Bayesian computation GW Peters, Y Fan, SA Sisson Statistics and Computing 22 (6), 1209-1222, 2012 | 38 | 2012 |

Dynamic operational risk: modeling dependence and combining different sources of information GW Peters, PV Shevchenko, MV Wüthrich arXiv preprint arXiv:0904.4074, 2009 | 37 | 2009 |

Likelihood-free Bayesian inference for α-stable models GW Peters, SA Sisson, Y Fan Computational Statistics & Data Analysis 56 (11), 3743-3756, 2012 | 29 | 2012 |

Simulation of the annual loss distribution in operational risk via panjer recursions and volterra integral equations for value at risk and expected shortfall estimation GW Peters, AM Johansen, A Doucet Journal of Operational Risk 2 (3), 29-58, 2007 | 25 | 2007 |

Topics in sequential Monte Carlo samplers GW Peters M. sc, University of Cambridge, Department of Engineering, 2005 | 23 | 2005 |

Parameter estimation for hidden Markov models with intractable likelihoods TA Dean, SS Singh, A Jasra, GW Peters Scandinavian Journal of Statistics, 2014 | 21 | 2014 |

Chain ladder method: Bayesian bootstrap versus classical bootstrap GW Peters, MV Wüthrich, PV Shevchenko Insurance: Mathematics and Economics 47 (1), 36-51, 2010 | 20 | 2010 |

Automating and evaluating reversible jump MCMC proposal distributions Y Fan, GW Peters, SA Sisson Statistics and Computing 19 (4), 409-421, 2009 | 19 | 2009 |

Ecological non-linear state space model selection via adaptive particle Markov chain Monte Carlo (AdPMCMC) GW Peters, GR Hosack, KR Hayes arXiv preprint arXiv:1005.2238, 2010 | 17 | 2010 |

Analytic loss distributional approach models for operational risk from the α-stable doubly stochastic compound processes and implications for capital allocation GW Peters, PV Shevchenko, M Young, W Yip Insurance: Mathematics and Economics 49 (3), 565-579, 2011 | 16 | 2011 |

Impact of insurance for operational risk: Is it worthwhile to insure or be insured for severe losses? GW Peters, AD Byrnes, PV Shevchenko Insurance: Mathematics and Economics 48 (2), 287-303, 2011 | 14 | 2011 |

Sharp propagation of chaos estimates for Feynman-Kac particle models P Del Moral, A Doucet, GW Peters Theory of Probability & Its Applications 51 (3), 459-485, 2007 | 14 | 2007 |

Bayesian symbol detection in wireless relay networks via likelihood-free inference GW Peters, I Nevat, SA Sisson, Y Fan, J Yuan Signal Processing, IEEE Transactions on 58 (10), 5206-5218, 2010 | 8 | 2010 |

Likelihood-free samplers SA Sisson, GW Peters, Y Fan, M Briers Journal Submission, 2008 | 8 | 2008 |

A note on target distribution ambiguity of likelihood-free samplers SA Sisson, GW Peters, M Briers, Y Fan arXiv preprint arXiv:1005.5201, 2010 | 7 | 2010 |

Distributed detection in sensor networks over fading channels with multiple antennas at the fusion centre I Nevat, GW Peters, IB Collings IEEE, 2014 | 5 | 2014 |

Severe uncertainty and info‐gap decision theory KR Hayes, SC Barry, GR Hosack, GW Peters Methods in Ecology and Evolution 4 (7), 601-611, 2013 | 5 | 2013 |

Adaptive Markov chain Monte Carlo forward projection for statistical analysis in epidemic modelling of human papillomavirus IA Korostil, GW Peters, J Cornebise, DG Regan Statistics in medicine 32 (11), 1917-1953, 2013 | 5 | 2013 |