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Natesh S. Pillai
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Year
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
3842015
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
3742011
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
3212013
Bayesian density regression
DB Dunson, N Pillai, JH Park
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2007
3012007
Universality of covariance matrices
NS Pillai, J Yin
The Annals of Applied Probability 24 (3), 935-1001, 2014
1452014
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
1432014
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
1172012
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
1082016
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
1062012
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
1002014
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
842013
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
842007
Bayesian nonparametric weighted sampling inference
Y Si, NS Pillai, A Gelman
Bayesian Analysis 10 (3), 605-625, 2015
762015
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
722015
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
672011
Combined influence of soil moisture and atmospheric evaporative demand is important for accurately predicting US maize yields
AJ Rigden, ND Mueller, NM Holbrook, N Pillai, P Huybers
Nature Food 1 (2), 127-133, 2020
602020
Bayesian shrinkage
A Bhattacharya, D Pati, NS Pillai, DB Dunson
arXiv preprint arXiv:1212.6088, 2012
602012
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
532016
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
512016
Ergodicity of approximate MCMC chains with applications to large data sets
NS Pillai, A Smith
arXiv preprint arXiv:1405.0182, 2014
512014
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