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math.PR2026

Biased branching random walks on Bienaymé--Galton--Watson trees

Julien Berestycki, Nina Gantert, David Geldbach +1

We study -biased branching random walks on Bienaymé--Galton--Watson trees in discrete time. We consider the maximal displacement at time , $\max_{\vert u \vert =n} \vert X(…

math.PR2026

Large deviations for sums of multivariate stretched-exponential random variables: the few-big-jumps principle

Nina Gantert, Joscha Prochno, Philipp Tuchel

Large deviations for sums of i.i.d.\ random variables with stretched-exponential tails (also called Weibull or semi-exponential tails) have been well understood since the 60's, goi…

math.PR2025

The maximal displacement of radially symmetric branching random walk in

Viktor Bezborodov, Nina Gantert

We consider discrete-time branching random walks with a radially symmetric distribution. Independently of each other individuals generate offspring whose relative locations are giv…

math.PR2025

Poisson Representable Processes

Malin P. Forsström, Nina Gantert, Jeffrey E. Steif

Motivated by Alain-Sol Sznitman's interlacement process, we consider the set of -valued processes which can be constructed in an analogous way, namely as a union of sets c…

math.PR2024

The TASEP on Galton-Watson trees

Nina Gantert, Nicos Georgiou, Dominik Schmid

We study the totally asymmetric simple exclusion process (TASEP) on trees where particles are generated at the root. Particles can only jump away from the root, and they jump from…

math.PR2024

Biased random walk on dynamical percolation

Sebastian Andres, Nina Gantert, Dominik Schmid +1

We study biased random walks on dynamical percolation on . We establish a law of large numbers and an invariance principle for the random walk using regeneration time…