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20172026
most citedA note on the folklore of free independence

3 citations · 5 across the 9 of their papers we have counts for

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math.PR2026

On the Properties of a Bernoulli--Uniform Boolean Convolution Family

Sukrit Chakraborty

We introduce and study a one-parameter family of probability measures defined by the Boolean additive convolution , where is the symmetric…

math.PR2022★ 2 cited

Shotgun Assembly of Random Geometric Graphs

Kartick Adhikari, Sukrit Chakraborty

In a recent work, Huang and Tikhomirov considered the shotgun assembly for Erd\H os-Rényi graphs with , and showed that the graph is reconstructable…

math.PR2021

Length of stationary Gaussian excursions

Arijit Chakrabarty, Manish Pandey, Sukrit Chakraborty

Given that a stationary Gaussian process is above a high threshold, the length of time it spends before going below that threshold is studied. The asymptotic order is determined by…

math.PR2019

Eigenvalues outside the bulk of inhomogeneous Erdős-Rënyi random graphs

Arijit Chakrabarty, Sukrit Chakraborty, Rajat Subhra Hazra

The article considers an inhomogeneous Erdős-Rënyi random graph on , where an edge is placed between vertices and with probability $\varepsilon_N f(i/N,j/N…

math.PR2018

Regular variation and free regular infinitely divisible laws

Arijit Chakrabarty, Sukrit Chakraborty, Rajat Subhra Hazra

In this article the relation between the tail behaviours of a free regular infinitely divisible (positively supported) probability measure and its Lévy measure is studied. An impor…

math.PR2018★ 3 cited

A note on the folklore of free independence

Arijit Chakrabarty, Sukrit Chakraborty, Rajat Subhra Hazra

It is shown that a Wishart matrix of standard complex normal random variables is asymptotically freely independent of an independent random matrix, under minimal conditions, in two…

math.PR2017

Boolean convolutions and regular variation

Sukrit Chakraborty, Rajat Subhra Hazra

In this article we study the influence of regularly varying probability measures on additive and multiplicative Boolean convolutions. We introduce the notion of Boolean subexponent…