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20182021
most citedOn Minimax Exponents of Sparse Testing

3 citations · 10 across the 7 of their papers we have counts for

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math.ST2021

Sharp Signal Detection Under Ferromagnetic Ising Models

Sohom Bhattacharya, Rajarshi Mukherjee, Gourab Ray

In this paper we study the effect of dependence on detecting a class of structured signals in Ferromagnetic Ising models. Natural examples of our class include Ising Models on latt…

math.ST20213 cited

On Ensembling vs Merging: Least Squares and Random Forests under Covariate Shift

Maya Ramchandran, Rajarshi Mukherjee

It has been postulated and observed in practice that for prediction problems in which covariate data can be naturally partitioned into clusters, ensembling algorithms based on suit…

math.ST20203 cited

On Minimax Exponents of Sparse Testing

Rajarshi Mukherjee, Subhabrata Sen

We consider exact asymptotics of the minimax risk for global testing against sparse alternatives in the context of high dimensional linear regression. Our results characterize the…

math.ST2019

On Testing for Parameters in Ising Models

Rajarshi Mukherjee, Gourab Ray

We consider testing for the parameters of Ferromagnetic Ising models. While testing for the presence of possibly sparse magnetizations, we provide a general lower bound of minimax…

math.ST2018

On Efficiency of the Plug-in Principle for Estimating Smooth Integrated Functionals of a Nonincreasing Density

Rajarshi Mukherjee, Bodhisattva Sen

We consider the problem of estimating smooth integrated functionals of a monotone nonincreasing density on using the nonparametric maximum likelihood based plug-in…