Riemann manifold Langevin and Hamiltonian Monte Carlo methods M Girolami, B Calderhead Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2011 | 1144 | 2011 |

Estimating Bayes factors via thermodynamic integration and population MCMC B Calderhead, M Girolami Computational Statistics & Data Analysis 53 (12), 4028-4045, 2009 | 171 | 2009 |

Accelerating Bayesian inference over nonlinear differential equations with Gaussian processes B Calderhead, M Girolami, ND Lawrence Advances in neural information processing systems, 217-224, 2009 | 145 | 2009 |

Bayesian solution uncertainty quantification for differential equations OA Chkrebtii, DA Campbell, B Calderhead, MA Girolami Bayesian Analysis 11 (4), 1239-1267, 2016 | 109* | 2016 |

A general construction for parallelizing Metropolis-Hastings algorithms B Calderhead Proceedings of the National Academy of Sciences 111 (49), 17408-17413, 2014 | 83 | 2014 |

Discussion of "Bayesian Solution Uncertainty Quantification for Differential Equations" OA Chkrebtii, DA Campbell, B Calderhead, MA Girolami Bayesian Analysis, 2016 | 81 | 2016 |

Statistical analysis of nonlinear dynamical systems using differential geometric sampling methods B Calderhead, M Girolami Interface focus 1 (6), 821-835, 2011 | 64 | 2011 |

Population MCMC methods for history matching and uncertainty quantification L Mohamed, B Calderhead, M Filippone, M Christie, M Girolami Computational Geosciences 16 (2), 423-436, 2012 | 40 | 2012 |

Ten simple rules for effective computational research JM Osborne, MO Bernabeu, M Bruna, B Calderhead, J Cooper, ... PLoS Computational Biology 10 (3), 2014 | 34 | 2014 |

Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systems A Kramer, B Calderhead, N Radde BMC bioinformatics 15 (1), 253, 2014 | 29 | 2014 |

Ten simple rules for a successful cross-disciplinary collaboration B Knapp, R Bardenet, MO Bernabeu, R Bordas, M Bruna, B Calderhead, ... PLoS computational biology 11 (4), 2015 | 26 | 2015 |

Bayesian statistical inference in ion-channel models with exact missed event correction M Epstein, B Calderhead, MA Girolami, LG Sivilotti Biophysical journal 111 (2), 333-348, 2016 | 19 | 2016 |

Probabilistic linear multistep methods O Teymur, K Zygalakis, B Calderhead Advances in Neural Information Processing Systems, 4321-4328, 2016 | 18 | 2016 |

Cutting Edge: Science hackathons for developing interdisciplinary research and collaborations D Groen, B Calderhead Elife 4, e09944, 2015 | 16 | 2015 |

Differential geometric MCMC methods and applications B Calderhead University of Glasgow, 2011 | 15 | 2011 |

On the initial configurations of collapsible channel flow X Luo, B Calderhead, H Liu, W Li Computers & structures 85 (11-14), 977-987, 2007 | 15 | 2007 |

Changing how earth system modeling is done to provide more useful information for decision making, science, and society MJ Smith, PI Palmer, DW Purves, MC Vanderwel, V Lyutsarev, ... Bulletin of the American Meteorological Society 95 (9), 1453-1464, 2014 | 14 | 2014 |

Bayesian approaches for mechanistic ion channel modeling B Calderhead, M Epstein, L Sivilotti, M Girolami In silico systems biology, 247-272, 2013 | 11 | 2013 |

Sparse approximate manifolds for differential geometric MCMC B Calderhead, MA Sustik Advances in neural information processing systems, 2879-2887, 2012 | 11 | 2012 |

Is it safe to go out yet? Statistical inference in a zombie outbreak model B Calderhead, M Girolami, DJ Higham | 10 | 2010 |