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Natesh S. Pillai
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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
4972015
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
4222011
Optimal tuning of the hybrid Monte Carlo algorithm
A Beskos, N Pillai, G Roberts, JM Sanz-Serna, A Stuart
3762013
Bayesian density regression
DB Dunson, N Pillai, JH Park
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2007
3262007
Universality of covariance matrices
NS Pillai, J Yin
1732014
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
1622014
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
1522020
Diffusion limits of the random walk Metropolis algorithm in high dimensions
JC Mattingly, NS Pillai, AM Stuart
1282012
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
1232016
Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions
NS Pillai, AM Stuart, AH Thiéry
1212012
Posterior contraction in sparse Bayesian factor models for massive covariance matrices
D Pati, A Bhattacharya, NS Pillai, D Dunson
1202014
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
962015
Bayesian nonparametric weighted sampling inference
Y Si, NS Pillai, A Gelman
922015
Regularity of laws and ergodicity of hypoelliptic SDEs driven by rough paths
M Hairer, NS Pillai
902013
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
MCMC for imbalanced categorical data
JE Johndrow, A Smith, N Pillai, DB Dunson
Journal of the American Statistical Association, 2018
742018
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
712011
Bayesian shrinkage
A Bhattacharya, D Pati, NS Pillai, DB Dunson
arXiv preprint arXiv:1212.6088, 2012
642012
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
582016
Statistical inference for dynamical systems: A review
K McGoff, S Mukherjee, N Pillai
572015
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