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20172023
most citedStochastic Approximation with Random Step Sizes and Urn Models with Random Replacement Matrices Having Finite Mean

7 citations · 8 across the 6 of their papers we have counts for

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math.ST2023

Learning Networks from Gaussian Graphical Models and Gaussian Free Fields

Subhro Ghosh, Soumendu Sundar Mukherjee, Hoang-Son Tran +1

We investigate the problem of estimating the structure of a weighted network from repeated measurements of a Gaussian Graphical Model (GGM) on the network. In this vein, we conside…

math.ST2019

Sparse Minimax Optimality of Bayes Predictive Density Estimates from Clustered Discrete Priors

Ujan Gangopadhyay, Gourab Mukherjee

We consider the problem of predictive density estimation under Kullback-Leibler loss in a high-dimensional Gaussian model with exact sparsity constraints on the location parameters…