Natesh S. Pillai
Title
Cited by
Cited by
Year
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
3482011
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
3002015
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
2832013
Bayesian density regression
DB Dunson, N Pillai, JH Park
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2007
2832007
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
1312014
Universality of covariance matrices
NS Pillai, J Yin
The Annals of Applied Probability 24 (3), 935-1001, 2014
1292014
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
1062012
Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions
NS Pillai, AM Stuart, AH Thiéry
The Annals of Applied Probability 22 (6), 2320-2356, 2012
962012
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
862016
Posterior contraction in sparse Bayesian factor models for massive covariance matrices
D Pati, A Bhattacharya, NS Pillai, D Dunson
The Annals of Statistics 42 (3), 1102-1130, 2014
852014
Regularity of laws and ergodicity of hypoelliptic SDEs driven by rough paths
M Hairer, NS Pillai
The Annals of Probability 41 (4), 2544-2598, 2013
822013
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
782007
Causal inference from 2K factorial designs by using potential outcomes
T Dasgupta, NS Pillai, DB Rubin
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2015
662015
Bayesian nonparametric weighted sampling inference
Y Si, NS Pillai, A Gelman
Bayesian Analysis 10 (3), 605-625, 2015
612015
Bayesian shrinkage
A Bhattacharya, D Pati, NS Pillai, DB Dunson
arXiv preprint arXiv:1212.6088, 2012
612012
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
602011
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
452016
Ergodicity of approximate MCMC chains with applications to large data sets
NS Pillai, A Smith
arXiv preprint arXiv:1405.0182, 2014
432014
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
422016
Edge universality of correlation matrices
NS Pillai, J Yin
The Annals of Statistics, 1737-1763, 2012
422012
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Articles 1–20