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researcher

R. Mukherjee

34 papers hereh-index 231.9k citations107 works total

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

author position
  • first author9
  • middle author16
  • last author8

Across the 33 of 34 papers where every author was matched, so the position is known.

fields
  • math.ST24
  • stat.ME5
  • cs.LG2
  • stat.ML2
  • math.PR1
same name
  • R. Mukherjee — 156 papers, h 46
  • R. Mukherjee — 63 papers, h 17
  • R. Mukherjee — 23 papers, h 13
  • R. Mukherjee — 17 papers, h 7
  • R. Mukherjee — 15 papers, h 9
  • R. Mukherjee — 13 papers, h 7

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
20132026
most citedHypothesis testing for high-dimensional sparse binary regression

39 citations · 107 across the 31 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

math.ST2016★ 1 cited

Global Testing Against Sparse Alternatives under Ising Models

Rajarshi Mukherjee, Sumit Mukherjee, Ming Yuan

In this paper, we study the effect of dependence on detecting sparse signals. In particular, we focus on global testing against sparse alternatives for the means of binary outcomes…

math.ST2016

Detection Thresholds for the β-Model on Sparse Graphs

Rajarshi Mukherjee, Sumit Mukherjee, Subhabrata Sen

In this paper we study sharp thresholds for detecting sparse signals in β-models for potentially sparse random graphs. The results demonstrate interesting interplay between graph…

math.ST2016★ 9 cited

Adaptive Estimation of Nonparametric Functionals

Lin Liu, Rajarshi Mukherjee, James Robins +1

We provide general adaptive upper bounds for estimating nonparametric functionals based on second order U-statistics arising from finite dimensional approximation of the infinite d…

math.ST2016

Asymptotic Normality of Scrambled Geometric Net Quadrature

Kinjal Basu, Rajarshi Mukherjee

In a very recent work, Basu and Owen (2015) propose the use of scrambled geometric nets in numerical integration when the domain is a product of s arbitrary spaces of dimension $…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.