Követés
Antik Chakraborty
Cím
Hivatkozott rá
Hivatkozott rá
Év
Fast sampling with Gaussian scale mixture priors in high-dimensional regression
A Bhattacharya, A Chakraborty, BK Mallick
Biometrika, asw042, 2016
2062016
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection
A Chakraborty, A Bhattacharya, BK Mallick
Biometrika 107 (1), 205-221, 2020
342020
horseshoe: Implementation of the Horseshoe Prior
S van der Pas, J Scott, A Chakraborty, A Bhattacharya
R package version 0.1. 0 12, 2016
292016
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
212018
Resilience-based process upset event prediction analysis for uncertainty management using Bayesian deep learning: application to a polyvinyl chloride process system
P Jain, A Chakraborty, EN Pistikopoulos, MS Mannan
Industrial & Engineering Chemistry Research 57 (43), 14822-14836, 2018
172018
horseshoe: Implementation of the Horseshoe Prior, 2016
S van der Pas, J Scott, A Chakraborty, A Bhattacharya
URL https://CRAN. R-project. org/package= horseshoe. R package version 0.1. 0, 0
9
Bayesian inference on high-dimensional multivariate binary responses
A Chakraborty, R Ou, DB Dunson
Journal of the American Statistical Association, 1-12, 2023
22023
Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants
Y Chen, A Bhadra, A Chakraborty
arXiv preprint arXiv:2404.17763, 2024
2024
Orthogonal calibration via posterior projections with applications to the Schwarzschild model
A Chakraborty, JB Walsh, L Strigari, BK Mallick, A Bhattacharya
arXiv preprint arXiv:2404.03152, 2024
2024
Nearest Neighbor Dirichlet Mixtures
S Chattopadhyay, A Chakraborty, DB Dunson
Journal of Machine Learning Research 24 (261), 1-46, 2023
2023
Package ‘horseshoe’
S van der Pas, J Scott, A Chakraborty, A Bhattacharya, MS van der Pas
2022
Bayesian semiparametric long memory models for discretized event data
A Chakraborty, O Ovaskainen, DB Dunson
The annals of applied statistics 16 (3), 1380, 2022
2022
Bayesian inference on high-dimensional multivariate binary data
A Chakraborty, R Ou, DB Dunson
arXiv preprint arXiv:2106.02127, 2021
2021
Nearest neighbor Dirichlet process
S Chattopadhyay, A Chakraborty, DB Dunson
arXiv preprint arXiv:2003.07953, 2020
2020
Package ‘intsurvbin’
A Maity, A Chakraborty, A Bhattacharya, R Carroll, BK Mallick, MA Maity
2019
Bayesian Shrinkage: Computation, Methods and Theory
A Chakraborty
2018
horseshoe
SL van der Pas, J Scott, A Chakraborty, A Bhattacharya
2016
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Cikkek 1–17