Articoli con mandati relativi all'accesso pubblico - Debdeep PatiUlteriori informazioni
Non disponibile pubblicamente: 1
Bayesian shape-constrained density estimation
S Dasgupta, D Pati, A Srivastava
Quarterly of Applied Mathematics 77 (2), 399-422, 2019
Mandati: US National Science Foundation
Disponibili pubblicamente: 42
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
Mandati: US National Institutes of Health
Bayesian fractional posteriors
A Bhattacharya, D Pati, Y Yang
Mandati: US National Science Foundation
α-variational inference with statistical guarantees
Y Yang, D Pati, A Bhattacharya
The Annals of Statistics 48 (2), 886-905, 2020
Mandati: US National Science Foundation
Posterior contraction in sparse Bayesian factor models for massive covariance matrices
D Pati, A Bhattacharya, NS Pillai, D Dunson
Mandati: US National Institutes of Health
Posterior consistency in conditional distribution estimation
D Pati, DB Dunson, ST Tokdar
Journal of multivariate analysis 116, 456-472, 2013
Mandati: US National Institutes of Health
Bayesian geostatistical modelling with informative sampling locations
D Pati, BJ Reich, DB Dunson
Biometrika 98 (1), 35-48, 2011
Mandati: US National Institutes of Health
Probabilistic community detection with unknown number of communities
J Geng, A Bhattacharya, D Pati
Journal of the American Statistical Association 114 (526), 893-905, 2019
Mandati: US National Science Foundation, US National Institutes of Health
Bayesian optimization with adaptive surrogate models for automated experimental design
B Lei, TQ Kirk, A Bhattacharya, D Pati, X Qian, R Arroyave, BK Mallick
Npj Computational Materials 7 (1), 194, 2021
Mandati: US National Science Foundation
On statistical optimality of variational Bayes
D Pati, A Bhattacharya, Y Yang
International Conference on Artificial Intelligence and Statistics, 1579-1588, 2018
Mandati: US National Science Foundation
Anisotropic function estimation using multi-bandwidth Gaussian processes
A Bhattacharya, D Pati, D Dunson
Annals of statistics 42 (1), 352, 2014
Mandati: US National Institutes of Health
Variable selection using shrinkage priors
H Li, D Pati
Computational Statistics & Data Analysis 107, 107-119, 2017
Mandati: US National Science Foundation, US Department of Defense
Reexamining the proton-radius problem using constrained Gaussian processes
S Zhou, P Giulani, J Piekarewicz, A Bhattacharya, D Pati
Physical Review C 99 (5), 055202, 2019
Mandati: US National Science Foundation, US Department of Energy, US National …
Adaptive Bayesian estimation of conditional densities
A Norets, D Pati
Econometric Theory 33 (4), 980-1012, 2017
Mandati: US National Science Foundation, US Department of Defense
Radius and equation of state constraints from massive neutron stars and GW190814
Y Lim, A Bhattacharya, JW Holt, D Pati
Physical Review C 104 (3), L032802, 2021
Mandati: US National Science Foundation, US Department of Energy, German Research …
Bayesian semiparametric density deconvolution in the presence of conditionally heteroscedastic measurement errors
A Sarkar, BK Mallick, J Staudenmayer, D Pati, RJ Carroll
Journal of Computational and Graphical Statistics 23 (4), 1101-1125, 2014
Mandati: US National Institutes of Health
Bayesian semiparametric multivariate density deconvolution
A Sarkar, D Pati, A Chakraborty, BK Mallick, RJ Carroll
Journal of the American Statistical Association 113 (521), 401-416, 2018
Mandati: US National Science Foundation, US Department of Defense, US National …
Dynamics of coordinate ascent variational inference: A case study in 2D Ising models
S Plummer, D Pati, A Bhattacharya
Entropy 22 (11), 1263, 2020
Mandati: US National Science Foundation
Bayesian nonparametric regression with varying residual density
D Pati, DB Dunson
Annals of the Institute of Statistical Mathematics 66, 1-31, 2014
Mandati: US National Institutes of Health
Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors
P Ray, D Pati, A Bhattacharya
Statistics and Computing 30, 839-853, 2020
Mandati: US National Science Foundation
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