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20082023
most citedSparse recovery under matrix uncertainty

189 citations · 697 across the 47 of their papers we have counts for

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13 papers · 1 filter

math.PR2021★ 1 cited

An expansion formula for Hawkes processes and application to cyber-insurance derivatives

Caroline Hillairet, Anthony Reveillac, Mathieu Rosenbaum

In this paper we provide an expansion formula for Hawkes processes which involves the addition of jumps at deterministic times to the Hawkes process in the spirit of the well-known…

math.PR2017

Fractional Brownian motion with zero Hurst parameter: a rough volatility viewpoint

Eyal Neuman, Mathieu Rosenbaum

Rough volatility models are becoming increasingly popular in quantitative finance. In this framework, one considers that the behavior of the log-volatility process of a financial a…

math.PR2017

Asymptotic behavior of local times related statistics for fractional Brownian motion

Mark Podolskij, Mathieu Rosenbaum

We consider high frequency observations from a fractional Brownian motion. Inspired by the work of Jean Jacod in a diffusion setting, we investigate the asymptotic behavior of vari…

math.PR2016

Asymptotic Optimal Tracking: Feedback Strategies

Jiatu Cai, Mathieu Rosenbaum, Peter Tankov

This is a companion paper to (Cai, Rosenbaum and Tankov, Asymptotic lower bounds for optimal tracking: a linear programming approach, arXiv:1510.04295). We consider a class of stra…

math.PR2015★ 5 cited

Asymptotic Lower Bounds for Optimal Tracking: a Linear Programming Approach

Jiatu Cai, Mathieu Rosenbaum, Peter Tankov

We consider the problem of tracking a target whose dynamics is modeled by a continuous Itō semi-martingale. The aim is to minimize both deviation from the target and tracking effor…

math.PR2015

Rough fractional diffusions as scaling limits of nearly unstable heavy tailed Hawkes processes

Thibault Jaisson, Mathieu Rosenbaum

We investigate the asymptotic behavior as time goes to infinity of Hawkes processes whose regression kernel has norm close to one and power law tail of the form ,…