Lack of confidence in approximate Bayesian computation model choice CP Robert, JM Cornuet, JM Marin, NS Pillai Proceedings of the National Academy of Sciences 108 (37), 15112-15117, 2011 | 345 | 2011 |

Dirichlet–Laplace priors for optimal shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson Journal of the American Statistical Association 110 (512), 1479-1490, 2015 | 294 | 2015 |

Bayesian density regression DB Dunson, N Pillai, JH Park Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2007 | 280 | 2007 |

Optimal tuning of the hybrid Monte Carlo algorithm A Beskos, N Pillai, G Roberts, JM Sanz-Serna, A Stuart Bernoulli 19 (5A), 1501-1534, 2013 | 273 | 2013 |

Relevant statistics for Bayesian model choice JM Marin, NS Pillai, CP Robert, J Rousseau Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2014 | 130 | 2014 |

Universality of covariance matrices NS Pillai, J Yin Annals of Applied Probability 24 (3), 935-1001, 2014 | 127 | 2014 |

Diffusion limits of the random walk Metropolis algorithm in high dimensions JC Mattingly, NS Pillai, AM Stuart The Annals of Applied Probability 22 (3), 881-930, 2012 | 108 | 2012 |

Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions NS Pillai, AM Stuart, AH Thiéry Annals of Applied Probability 22 (6), 2320-2356, 2012 | 96 | 2012 |

Accelerating asymptotically exact MCMC for computationally intensive models via local approximations PR Conrad, YM Marzouk, NS Pillai, A Smith Journal of the American Statistical Association 111 (516), 1591-1607, 2016 | 85 | 2016 |

Posterior contraction in sparse Bayesian factor models for massive covariance matrices D Pati, A Bhattacharya, NS Pillai, D Dunson Annals of Statistics 42 (3), 1102-1130, 2014 | 85 | 2014 |

Regularity of laws and ergodicity of hypoelliptic SDEs driven by rough paths M Hairer, NS Pillai Annals of Probability 41 (4), 2544-2598, 2013 | 83 | 2013 |

Characterizing the Function Space for Bayesian Kernel Models. NS Pillai, Q Wu, F Liang, S Mukherjee, RL Wolpert Journal of Machine Learning Research 8 (8), 2007 | 79 | 2007 |

Causal inference from 2 ^{K} factorial designs by using potential outcomesT Dasgupta, NS Pillai, DB Rubin Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2015 | 66 | 2015 |

Bayesian nonparametric weighted sampling inference Y Si, NS Pillai, A Gelman Bayesian Analysis 10 (3), 605-625, 2015 | 62 | 2015 |

Ergodicity of hypoelliptic SDEs driven by fractional Brownian motion M Hairer, NS Pillai Annales de l'IHP Probabilités et statistiques 47 (2), 601-628, 2011 | 60 | 2011 |

Bayesian shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson arXiv preprint arXiv:1212.6088, 2012 | 59 | 2012 |

A function space HMC algorithm with second order Langevin diffusion limit M Ottobre, NS Pillai, FJ Pinski, AM Stuart Bernoulli 22 (1), 60-106, 2016 | 43 | 2016 |

Ergodicity of approximate MCMC chains with applications to large data sets NS Pillai, A Smith arXiv preprint arXiv:1405.0182, 2014 | 43 | 2014 |

Model comparison and assessment for single particle tracking in biological fluids M Lysy, NS Pillai, DB Hill, MG Forest, JWR Mellnik, PA Vasquez, ... Journal of the American Statistical Association 111 (516), 1413-1426, 2016 | 42 | 2016 |

Edge universality of correlation matrices NS Pillai, J Yin The Annals of Statistics, 1737-1763, 2012 | 42 | 2012 |