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Sayantan Banerjee
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Cited by
Year
Bayesian structure learning in graphical models
S Banerjee, S Ghosal
Journal of Multivariate Analysis 136, 147-162, 2015
892015
Posterior convergence rates for estimating large precision matrices using graphical models
S Banerjee, S Ghosal
Electronic Journal of Statistics 8 (2), 2111-2137, 2014
652014
Fast Bayesian model assessment for nonparametric additive regression
SMK Curtis, S Banerjee, S Ghosal
Computational Statistics & Data Analysis 71, 347-358, 2014
262014
DEMARCATE: Density-based Magnetic Resonance Image Clustering for Assessing Tumor Heterogeneity in Cancer
A Saha, S Banerjee, S Kurtek, S Narang, J Lee, G Rao, J Martinez, ...
NeuroImage: Clinical 12, 132 - 143, 2016
182016
Personalized integrated network modeling of the cancer proteome atlas
MJ Ha, S Banerjee, R Akbani, H Liang, GB Mills, KA Do, ...
Scientific reports 8 (1), 1-14, 2018
142018
Bayesian inference in high-dimensional models
S Banerjee, I Castillo, S Ghosal
https://arxiv.org/abs/2101.04491, 2021
82021
Change‐point analysis in financial networks
S Banerjee, K Guhathakurta
Stat 9 (1), e269, 2020
82020
Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer
S Banerjee, R Akbani, V Baladandayuthapani
Computational Statistics and Data Analysis 132, 46 - 69, 2019
72019
Precision Matrix Estimation under the Horseshoe-like Prior-Penalty Dual
KS K.N., S Banerjee, J Datta, A Bhadra
arXiv preprint arXiv:2104.10750, 2021
62021
Bayesian variable selection in generalized additive partial linear models
S Banerjee, S Ghosal
Stat 3 (1), 363-378, 2014
62014
Horseshoe shrinkage methods for Bayesian fusion estimation
S Banerjee
Computational Statistics and Data Analysis, 2022
32022
Graph signal denoising using -shrinkage priors
S Banerjee, W Shen
Journal of Statistical Planning and Inference 219, 279-305, 2022
22022
Posterior convergence rates for high‐dimensional precision matrix estimation using G‐Wishart priors
S Banerjee
Stat 6 (1), 207-217, 2017
22017
Graphical Evidence
A Bhadra, K Sagar, S Banerjee, J Datta
arXiv Preprint arXiv:2205.01016, 2022
12022
Network-based Modeling of COVID-19 Dynamics: Early Pandemic Spread in India
R Bhattacharyya, S Banerjee, S Mohammed, V Baladandayuthapani
https://www.medrxiv.org/content/10.1101/2021.03.16.21253772v1, 2021
12021
Nonparametric variable selection, clustering and prediction for large biological datasets
S Guha, S Banerjee, C Gu, V Baladandayuthapani
Nonparametric Bayesian Inference in Biostatistics, 175-192, 2015
12015
Role of multiresolution vulnerability indices in COVID-19 spread in India: a Bayesian model-based analysis
R Bhattacharyya, A Burman, K Singh, S Banerjee, S Maity, A Auddy, ...
BMJ open 12 (11), e056292, 2022
2022
High-dimensional Portfolio Optimization using Joint Shrinkage
A Burman, S Banerjee
arXiv Preprint arXiv:2109.13633, 2021
2021
Bayesian Structure Learning in Graphical Models using Shrinkage priors
S Banerjee
arXiv preprint arXiv:1908.02684, 2019
2019
Discussion of "Sparse graphs using exchangeable random measures" by Francois Caron and Emily Fox
S Banerjee, S Ghosal
Journal of the Royal Statistical Society: Series B 79 (5), 1343, 2017
2017
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Articles 1–20