Sample quantiles in statistical packages RJ Hyndman, Y Fan The American Statistician 50 (4), 361-365, 1996 | 1333 | 1996 |

Sequential monte carlo without likelihoods SA Sisson, Y Fan, MM Tanaka Proceedings of the National Academy of Sciences 104 (6), 1760-1765, 2007 | 1021 | 2007 |

Handbook of approximate Bayesian computation SA Sisson, Y Fan, M Beaumont CRC Press, 2018 | 476 | 2018 |

Gender and cultural bias in student evaluations: Why representation matters Y Fan, LJ Shepherd, E Slavich, D Waters, M Stone, R Abel, EL Johnston PloS one 14 (2), e0209749, 2019 | 252 | 2019 |

Likelihood-free MCMC SA Sisson, Y Fan Handbook of Markov Chain Monte Carlo, 313-335, 2011 | 181 | 2011 |

Sexual dimorphism, survival and dispersal in red deer EA Catchpole, Y Fan, BJT Morgan, TH Clutton-Brock, T Coulson Journal of Agricultural, Biological, and Environmental Statistics 9, 1-26, 2004 | 142 | 2004 |

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 | 108 | 2016 |

On sequential Monte Carlo, partial rejection control and approximate Bayesian computation GW Peters, Y Fan, SA Sisson Statistics and Computing 22, 1209-1222, 2012 | 106 | 2012 |

Likelihood-free Bayesian inference for α-stable models GW Peters, SA Sisson, Y Fan Computational Statistics & Data Analysis 56 (11), 3743-3756, 2012 | 82 | 2012 |

Nonparametric confidence intervals for receiver operating characteristic curves P Hall, RJ Hyndman, Y Fan Biometrika 91 (3), 743-750, 2004 | 81 | 2004 |

Overview of ABC SA Sisson, Y Fan, MA Beaumont Handbook of approximate Bayesian computation, 3-54, 2018 | 80 | 2018 |

Haar graph pooling YG Wang, M Li, Z Ma, G Montufar, X Zhuang, Y Fan Proceedings of the 37th International Conference on Machine Learning, PMLR …, 2020 | 69 | 2020 |

Reversible jump MCMC Y Fan, SA Sisson Handbook of Markov Chain Monte Carlo, 67-92, 2011 | 64 | 2011 |

Approximate Bayesian computation via regression density estimation Y Fan, DJ Nott, SA Sisson Stat 2 (1), 34-48, 2013 | 63 | 2013 |

Approximate Bayesian computation and Bayes’ linear analysis: toward high-dimensional ABC DJ Nott, Y Fan, L Marshall, SA Sisson Journal of Computational and Graphical Statistics 23 (1), 65-86, 2014 | 58 | 2014 |

Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model J Li, DJ Nott, Y Fan, SA Sisson Computational Statistics & Data Analysis 106, 77-89, 2017 | 54 | 2017 |

Multivariate nonparametric test of independence Y Fan, PL de Micheaux, S Penev, D Salopek Journal of Multivariate Analysis 153, 189-210, 2017 | 46 | 2017 |

A simple method for Bayesian model averaging of regional climate model projections: Application to southeast Australian temperatures R Olson, Y Fan, JP Evans Geophysical Research Letters 43 (14), 7661-7669, 2016 | 42 | 2016 |

Regression adjustment for noncrossing Bayesian quantile regression T Rodrigues, Y Fan Journal of Computational and Graphical Statistics 26 (2), 275-284, 2017 | 40 | 2017 |

ABC for climate: dealing with expensive simulators PB Holden, NR Edwards, J Hensman, RD Wilkinson Handbook of approximate Bayesian computation, 569-95, 2018 | 37 | 2018 |