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Gourab Mukherjee

8 papers hereh-index 171.2k citations65 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author4
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • stat.ME4
  • math.ST3
  • stat.AP1
same name
  • Gourab Mukherjee — 2 papers
  • Gourab Mukherjee — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122025
most citedOn Minimax Optimality of Sparse Bayes Predictive Density Estimates

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing stat.MEShow all

4 papers · 1 filter

stat.ME2020

Large-Scale Shrinkage Estimation under Markovian Dependence

Bowen Gang, Gourab Mukherjee, Wenguang Sun

We consider the problem of simultaneous estimation of a sequence of dependent parameters that are generated from a hidden Markov model. Based on observing a noise contaminated vect…

stat.ME2020

A Nearest-Neighbor Based Nonparametric Test for Viral Remodeling in Heterogeneous Single-Cell Proteomic Data

Trambak Banerjee, Bhaswar B. Bhattacharya, Gourab Mukherjee

An important problem in contemporary immunology studies based on single-cell protein expression data is to determine whether cellular expressions are remodeled post infection by a…

stat.ME2018

Adaptive Sparse Estimation with Side Information

Trambak Banerjee, Gourab Mukherjee, Wenguang Sun

The article considers the problem of estimating a high-dimensional sparse parameter in the presence of side information that encodes the sparsity structure. We develop a general fr…

stat.ME2016

Empirical Bayes Estimates for a 2-Way Cross-Classified Additive Model

Lawrence D. Brown, Gourab Mukherjee, Asaf Weinstein

We develop an empirical Bayes procedure for estimating the cell means in an unbalanced, two-way additive model with fixed effects. We employ a hierarchical model, which reflects ex…

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