activity
20202025
collaborators

6 papers

math.PR2025

Collision types and times in interacting particle systems

Sergio Andraus, Nicole Hufnagel, Jacek Małecki

We consider a system of stochastic interacting particles with general diffusion coefficient and drift functions and we study the types of collisions that arise in them. In particul…

math.ST2025

Monte Carlo on a single sample

Nils Detering, Nicole Hufnagel, Paul Krühner

In this paper, we consider a Monte Carlo simulation method (MinMC) that approximates prices and risk measures for a range of model parameters at once. The simulation method tha…

math.PR2023

Collision times of multivariate Bessel processes with their Weyl chambers' boundaries and their Hausdorff dimension

Nicole Hufnagel, Sergio Andraus

Multivariate Bessel processes, otherwise known as radial Dunkl processes, are stochastic processes defined in a Weyl chamber that are repelled from the latter's boundary by a singu…

math.PR2021

Hausdorff dimension of collision times in one-dimensional log-gases

Nicole Hufnagel, Sergio Andraus

We consider systems of multiple Brownian particles in one dimension that repel mutually via a logarithmic potential on the real line, more specifically the Dyson model. These syste…

math.ST2021

Estimation of ergodic square-root diffusion under high-frequency sampling

Yuzhong Cheng, Nicole Hufnagel, Hiroki Masuda

Gaussian quasi-likelihood estimation of the parameter in the square-root diffusion process is studied under high frequency sampling. Different from the previous study of Overbe…

math.PR2020

Martingale estimation functions for Bessel processes

Nicole Hufnagel, Jeannette H. C. Woerner

In this paper we derive martingale estimating functions for the dimensionality parameter of a Bessel process based on the eigenfunctions of the diffusion operator. Since a Bessel p…