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20242026
most citedA Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression

2 citations · 2 across the 10 of their papers we have counts for

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math.PR2026

Fluctuations in random field Ising models

Seunghyun Lee, Nabarun Deb, Sumit Mukherjee

This paper establishes a CLT for linear statistics of the form with quantitative Berry-Esseen bounds, where is an observa…

math.PR2026

Gibbs Measures with Multilinear Forms

Sohom Bhattacharya, Nabarun Deb, Sumit Mukherjee

In this paper, we study a class of multilinear Gibbs measures with Hamiltonian given by a generalized -statistic and with a general base measure. Expressing the asympto…

math.PR2026

LDP for Inhomogeneous U-Statistics

Sohom Bhattacharya, Nabarun Deb, Sumit Mukherjee

In this paper we derive a Large Deviation Principle (LDP) for inhomogeneous U/V-statistics of a general order. Using this, we derive a LDP for two types of statistics: random multi…

math.PR2025

Large random matrices with given margins

Hanbaek Lyu, Sumit Mukherjee

We study large random matrices with i.i.d. entries conditioned to have prescribed row and column sums (margins), a problem connected to relative entropy minimization, Schrödinger…

math.PR2025

Persistence and Ball Exponents for Gaussian Stationary Processes

Naomi Feldheim, Ohad Feldheim, Sumit Mukherjee

Consider a real Gaussian stationary process , indexed on either or and admitting a spectral measure . We study $θ_ρ^\ell=-\lim\limits_{T\to\in…

math.PR2024

Universality of Persistence of Random Polynomials

Promit Ghosal, Sumit Mukherjee

We investigate the probability that a random polynomial with independent, mean-zero and finite variance coefficients has no real zeros. Specifically, we consider a random polynomia…