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M. Ghosh

29 papers hereh-index 448.7k citations366 works total

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

author position
  • sole author2
  • first author3
  • middle author4
  • last author20

Across the 29 of 29 papers where every author was matched, so the position is known.

fields
  • math.ST15
  • stat.ME11
  • stat.AP1
  • stat.CO1
  • stat.ML1
same name
  • M. Ghosh — 61 papers, h 17
  • M. Ghosh — 16 papers, h 25
  • M. Ghosh — 15 papers, h 20
  • M. Ghosh — 9 papers, h 4
  • M. Ghosh — 9 papers, h 3
  • M. Ghosh — 4 papers, h 18

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
20062023
most citedBayesian Variable Selection and Estimation for Group Lasso

134 citations · 478 across the 27 of their papers we have counts for

collaborators
Showing 2017 · math.STShow all

4 papers · 2 filters

math.ST2017

Bayes Minimax Competitors of Preliminary Test Estimators in k Sample Problems

Ryo Imai, Tatsuya Kubokawa, Malay Ghosh

In this paper, we consider the estimation of a mean vector of a multivariate normal population where the mean vector is suspected to be nearly equal to mean vectors of k−1 other…

math.ST2017

Bayesian Simultaneous Estimation for Means in k Sample Problems

Ryo Imai, Tatsuya Kubokawa, Malay Ghosh

This paper is concerned with the simultaneous estimation of k population means when one suspects that the k means are nearly equal. As an alternative to the preliminary test es…

math.ST2017★ 7 cited

The Inverse Gamma-Gamma Prior for Optimal Posterior Contraction and Multiple Hypothesis Testing

Ray Bai, Malay Ghosh

We study the well-known problem of estimating a sparse n-dimensional unknown mean vector θ=(θ1​,...,θn​) with entries corrupted by Gaussian white noise. In the Bayesian fram…

math.ST2017★ 2 cited

High-dimensional posterior consistency for hierarchical non-local priors in regression

Xuan Cao, Kshitij Khare, Malay Ghosh

The choice of tuning parameters in Bayesian variable selection is a critical problem in modern statistics. In particular, for Bayesian linear regression with non-local priors, the…

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