Sequential monte carlo without likelihoods SA Sisson, Y Fan, MM Tanaka Proceedings of the National Academy of Sciences 104 (6), 1760-1765, 2007 | 646 | 2007 |

Likelihood-based inference for max-stable processes SA Padoan, M Ribatet, SA Sisson Journal of the American Statistical Association 105 (489), 263-277, 2010 | 335 | 2010 |

A fully probabilistic approach to extreme rainfall modeling S Coles, LR Pericchi, S Sisson Journal of Hydrology 273 (1-4), 35-50, 2003 | 271 | 2003 |

A comparative review of dimension reduction methods in approximate Bayesian computation MGB Blum, MA Nunes, D Prangle, SA Sisson Statistical Science 28 (2), 189-208, 2013 | 259 | 2013 |

In defence of model‐based inference in phylogeography MA Beaumont, R Nielsen, C Robert, J Hey, O Gaggiotti, L Knowles, ... Molecular ecology 19 (3), 436-446, 2010 | 169 | 2010 |

Transdimensional Markov chains: A decade of progress and future perspectives SA Sisson Journal of the American Statistical Association 100 (471), 1077-1089, 2005 | 163 | 2005 |

The epidemiological fitness cost of drug resistance in Mycobacterium tuberculosis F Luciani, SA Sisson, H Jiang, AR Francis, MM Tanaka Proceedings of the National Academy of Sciences 106 (34), 14711-14715, 2009 | 154 | 2009 |

Inference for stereological extremes P Bortot, SG Coles, SA Sisson Journal of the American Statistical Association 102 (477), 84-92, 2007 | 139 | 2007 |

Detection of non-stationarity in precipitation extremes using a max-stable process model S Westra, SA Sisson Journal of Hydrology 406 (1-2), 119-128, 2011 | 126 | 2011 |

Using approximate Bayesian computation to estimate tuberculosis transmission parameters from genotype data MM Tanaka, AR Francis, F Luciani, SA Sisson Genetics 173 (3), 1511-1520, 2006 | 122 | 2006 |

Bayesian Inference, Monte Carlo Sampling and Operational Risk. G Peters, S Sisson Peters GW and Sisson SA (2006)“Bayesian Inference, Monte Carlo Sampling and …, 2006 | 97 | 2006 |

Rapid shifts in dispersal behavior on an expanding range edge T Lindström, GP Brown, SA Sisson, BL Phillips, R Shine Proceedings of the National Academy of Sciences 110 (33), 13452-13456, 2013 | 91 | 2013 |

Likelihood-free MCMC SA Sisson, Y Fan Handbook of Markov Chain Monte Carlo, 313-335, 2011 | 85* | 2011 |

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 | 71 | 2012 |

Development of a formal likelihood function for improved Bayesian inference of ephemeral catchments T Smith, A Sharma, L Marshall, R Mehrotra, S Sisson Water Resources Research 46 (12), 2010 | 67 | 2010 |

Quantifying the dependence between extreme rainfall and storm surge in the coastal zone F Zheng, S Westra, SA Sisson Journal of hydrology 505, 172-187, 2013 | 66 | 2013 |

Likelihood-free Bayesian inference for α-stable models GW Peters, SA Sisson, Y Fan Computational Statistics & Data Analysis 56 (11), 3743-3756, 2012 | 62 | 2012 |

Likelihood-free markov chain monte carlo SA Sisson, Y Fan arXiv preprint arXiv:1001.2058, 2010 | 61 | 2010 |

Adaptive optimal scaling of Metropolis–Hastings algorithms using the Robbins–Monro process PH Garthwaite, Y Fan, SA Sisson Communications in Statistics-Theory and Methods 45 (17), 5098-5111, 2016 | 53* | 2016 |

Modeling dependence between extreme rainfall and storm surge to estimate coastal flooding risk F Zheng, S Westra, M Leonard, SA Sisson Water Resources Research 50 (3), 2050-2071, 2014 | 53 | 2014 |