63 citations · 113 across the 31 of their papers we have counts for
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stat.ME2021
Horseshoe shrinkage methods for Bayesian fusion estimation
Sayantan Banerjee
We consider the problem of estimation and structure learning of high dimensional signals via a normal sequence model, where the underlying parameter vector is piecewise constant, o…
stat.ME2020★ 2 cited
Graph signal denoising using -shrinkage priors
Sayantan Banerjee, Weining Shen
We study the graph signal denoising problem by estimating a piecewise constant signal over an undirected graph. We propose a new Bayesian approach that first converts a general gra…
stat.ME2015★ 1 cited
Bayesian Nonparametric Graph Clustering
Sayantan Banerjee, Rehan Akbani, Veerabhadran Baladandayuthapani
We present clustering methods for multivariate data exploiting the underlying geometry of the graphical structure between variables. As opposed to standard approaches that assume k…