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Editors


Editors-in-Chief:

James Allen Fill
The Johns Hopkins University, Baltimore, MD, USA, email: jimfill@jhu.edu
Markov chains; Markov chain Monte Carlo; random structures and algorithms; probabilistic analysis of algorithms; combinatorial probability; discrete probability

Rene Schilling, Institut für Math. Stochastik, Germany, email: jotp.schilling@gmail.com
Stochastic processes (Feller, Lévy, Markov); path properties of stochastic processes; Dirichlet forms; pseudo-differential operators and Markov processes; (functional, harmonic) analysis and probability


Editorial Board:

Zhenqing Chen, University of Washington, Seattle, USA (zchen@math.washington.edu)
Stochastic calculus and its applications; stochastic differential equations; Markov processes; boundary theory; Dirichlet forms; jump type processes and their heat kernel estimate

Benoît Collins, Kyoto University, Japan (collins@math.kyoto-u.ac.jp)
Random matrices; free probability; non-commutative probability; probabilistic aspects of quantum information; probabilistic aspects of representation theory; random tensors; random graphs

Sonja Cox, University of Amsterdam, The Netherlands (s.g.cox@uva.nl)
Stochastic analysis in Banach spaces; numerical analysis for stochastic (partial) differential equations; regularity of stochastic (partial) differential equations; numerical analysis for parabolic problems; affine Markov processes

Göran Högnäs, Åbo Akademi, Finland (ghognas@abo.fi)
Products of random matrices; iterated function systems; iteration of random mappings; stochastic population models; nonlinear autoregressive processes; Markov models in telecommunication

Davar Khoshnevisan, University of Utah, Salt Lake City, USA (davar@math.utah.edu)
Random fields and multiparameter processes; potential theory and classical harmonic analysis; stochastic partial differential equations

Mikhail Lifshits, St-Petersburg State University, Russia (lifts@mail.rcom.ru)
Random processes (especially Gaussian processes): approximation properties; small deviations; large deviations; sample paths properties; local times; almost sure limit theorems; functional limit theorems; random particle systems

Ross Maller, Australian National University, Australia (ross.maller@anu.edu.au)
Random walks and Lévy processes, especially their asymptotic properties; weak, strong and functional limit theorems; passage time and boundary crossing problems relating to these processes; processes derived from them, such as (generalized) Ornstein-Uhlenbeck processes; applications of these in various areas, especially in finance and insurance; application of limit theorems in statistics, especially in survival analysis

Jun Masamune, Hokkaido University, Japan (jmasamune@math.sci.hokudai.ac.jp)
Self-adjoint extensions; Markov extensions; long-time properties of heat kernels; homogenization; optimization

David M. Mason, University of Delaware, Newark, USA (davidm@udel.edu)
Empirical and U-statistics processes and their applications; weak and strong approximations; limit theorems for sums and self-normalized sums

Tai Melcher, University of Virginia, Charlottesville, USA (melcher@virginia.edu)
Stochastic differential equations, often in geometric settings and particularly on Lie groups; functional inequalities; measures in infinite dimensions

Florence Merlevède, Université de Marne-la-Vallée, France (florence.merlevede@univmlv.fr)
Inequalities and limit theorems for dependent random variables; strong approximations; empirical processes; probability in functional spaces

Peter Mörters, University of Bath, United Kingdom (maspm@bath.ac.uk)
Brownian motion and random walk; large deviations; stochastic processes in random media; Hausdorff dimension; probabilistic methods in analysis

Mark Rudelson, University of Michigan, Ann Arbor, USA (rudelson@umich.edu)
Random matrices; probabilistic methods in functional analysis and convex geometry; concentration of measure

Laurent Saloff-Coste, Cornell University, Ithaca, USA (lsc@math.cornell.edu)
Random walks on groups; potential theory on manifolds; heat equation and heat kernel; Dirichlet forms and potential theory on Lie groups and locally compact groups; Gaussian convolution semigroups; finite Markov chains; quantitative analysis of ergodic Markov chains

Sunder SethuramanUniversity of Arizona, USA (sethuram@math.arizona.edu)
Stochastic interacting particle systems; random graphs; time-inhomogeneous Markov chains

Perla Sousi, University of Cambridge, Cambridge, United Kingdom (p.sousi@statslab.cam.ac.uk)
Markov chains; mixing times; random walks; random walks in dynamic environment; Brownian motion

Bruno Toaldo, University of Turin, Italy (bruno.toaldo@unito.it)
Markov and semi-Markov processes; nonlocal operators and stochastic processes; anomalous diffusion; random evolutions; continuous time random walks and their scaling limits

Feng-Yu Wang, Beijing Normal University, Beijing, China (wangfy@bnu.edu.cn)
Stochastic analysis on Riemannian manifolds; functional inequalities; stochastic (partial) differential equations

Tusheng Zhang, The University of Manchester, United Kingdom (tzhang@maths.man.ac.uk)
Finite and infinite dimensional stochastic analysis; stochastic partial differential equations; stochastic differential equations; Dirichlet forms and Markov processes; Malliavin calculus; large deviations

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