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Probability Theory and Related Fields

Springer International Publishing

ABDC A*
Abstract coveragesee Methodology
Recent paperssorted by most recent
PaperYearCitations
High-dimensional bootstrap and asymptotic expansion
Yuta Koike
20261 citations
Ordered random walks and the Airy line ensemble
Denis Denisov et al.
20260 citations
Mixing times for the TASEP on the circle
D. Schmid & Allan Sly
20260 citations
Hitting time mixing for the random transposition walk
Vishesh Jain & Mehtaab Sawhney
20260 citations
On minimizing curves in a Brownian potential
Félix Otto et al.
20260 citations
Percolation on stretched lattices: a static renormalization approach
Marcelo Hilário et al.
20260 citations
Towards abstract Wiener model spaces
Gideon Chiusole & Peter K. Friz
20260 citations
Half-space Airy line ensembles
Evgeni Dimitrov & Zongrui Yang
20260 citations
Extremal eigenvectors of sparse random matrices
Yukun He et al.
20260 citations
Regularisation by multiplicative noise for reaction–diffusion equations
Konstantinos Dareiotis et al.
20260 citations
Tight universal bounds on the height times the width of random trees
Serte Donderwinkel & Robin Khanfir
20260 citations
Upper tail large deviation for the one-dimensional frog model
Van Hao Can et al.
20260 citations
Periodic homogenisation for two dimensional generalised parabolic Anderson model
Yilin Chen et al.
20260 citations
Interface motion from Glauber-Kawasaki dynamics of non-gradient type
Tadahisa Funaki
20260 citations
Mott’s law for the v.r.h. random resistor network and for Mott’s random walk
Alessandra Faggionato
20260 citations
The height gap of planar Brownian motion is $$\frac{5}{\pi }$$
Antoine Jego et al.
20260 citations
Exit time analysis for Kesten’s stochastic recurrence equations
Chang-Han Rhee et al.
20260 citations
Weak convergence of stochastic integrals on Skorokhod space in Skorokhod’s $$J_1$$ and $$M_1$$ topologies
Andreas Sojmark & Fabrice Wunderlich
20260 citations
Tightness for random walks driven by the planar Gaussian free field at high temperature
Jian Ding & Jiamin Wang
20260 citations
Quantitative CLTs in deep neural networks
Stefano Favaro et al.
20257 citations

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