activity
20142024
most citedExtremes of Multi-type Branching Random Walks: Heaviest Tail Wins

6 citations · 12 across the 10 of their papers we have counts for

collaborators

12 papers

math.PR2024

Branching random walk and log-slowly varying tails

Ayan Bhattacharya, Piotr Dyszewski, Nina Gantert +1

We study a branching random walk with independent and identically distributed, heavy tailed displacements. The offspring law is supercritical and satisfies the Kesten-Stigum condit…

econ.TH2022

Arbitrage from a Bayesian's Perspective

Ayan Bhattacharya

This paper builds a model of interactive belief hierarchies to derive the conditions under which judging an arbitrage opportunity requires Bayesian market participants to exercise…

math.PR2021

Extreme positions of regularly varying branching random walk in random and time-inhomogeneous environment

Ayan Bhattacharya, Zbigniew Palmowski

In this article, we consider a Branching Random Walk on the real line. The genealogical structure is assumed to be given through a supercritical branching process in the i.i.d. env…

math.ST2020★ 3 cited

Consistency of the PLFit estimator for power-law data

Ayan Bhattacharya, Bohan Chen, Remco van der Hofstad +1

We prove the consistency of the Power-Law Fit PLFit method proposed by Clauset et al.(2009) to estimate the power-law exponent in data coming from a distribution function with regu…

math.PR2019

Slower variation of the generation sizes induced by heavy-tailed environment for geometric branching

Ayan Bhattacharya, Zbigniew Palmowski

Motivated by seminal paper of Kozlov et al.(1975) we consider in this paper a branching process with a geometric offspring distribution parametrized by random success probability $…

math.PR2019

Persistence of heavy-tailed sample averages: principle of infinitely many big jumps

Ayan Bhattacharya, Zbigniew Palmowski, Bert Zwart

We consider the sample average of a centered random walk in with regularly varying step size distribution. For the first exit time from a compact convex set not…