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Mathematics - Probability Theory and Stochastic Processes | Journal of Theoretical Probability - incl. option to publish open access (Editorial Board)

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Journal of Theoretical Probability

Journal of Theoretical Probability

Editor-in-Chief: James A. Fill

ISSN: 0894-9840 (print version)
ISSN: 1572-9230 (electronic version)

Journal no. 10959

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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

Editorial Board:

Wlodek Bryc, University of Cincinnati, Cincinnati, OH (brycwz@ucmath.edu);

- non-commutative probability; random matrices; large deviations; weak dependence

Sandra Cerrai, University of Maryland, College Park, MD (cerrai@math.umd.edu);

- stochastic analysis; stochastic partial differential equations; large deviations; multi-scaling limits

Zhenqing Chen, University of Washington, Seattle, WA (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

S.G. Dani, Tata Institute of Fundamental Research, India (dani@math.tifr.res.in);

- ergodic theory on homogeneous spaces of Lie groups

Catherine Donati-Martin, Université de Versailles, Versailles, France (catherine.donati-martin@uvsq.fr)

- random matrices; stochastic analysis; free probability

Uwe Einmahl, Vrije Universiteit Brussel, Belgium (ueinmahl@vub.ac.be);

- classical limit theorems of probability (especially strong approximations and law-of-the-iterated-logarithm-type results); probability in Banach space; empirical 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

Peter Imkeller, Humboldt-Universitaet zu Berlin, Germany (imkeller@mathematik.hu-berlin.de);

- stochastic analysis, stochastic dynamics, stochastic models of financial
markets, stochastic models in climate dynamics

Davar Khoshnevisan, University of Utah, Salt Lake City, UT (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 Levy 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

David M. Mason, University of Delaware, Newark, DE (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, VA (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 (florence.merlevede@univ-mlv.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

Arunava Mukherjea, University of South Florida, Tampa, FL (amukherjea@earthlink.net);

- probability measures on algebraic structures; Markov chains; random matrices

Mark Rudelson, University of Michigan, Ann Arbor, MI  (rudelson@umich.edu);

- random matrices; probabilistic methods in functional analysis and convex geometry; concentration of measure

Laurent Saloff-Coste, Cornell University, Ithaca, NY (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

Rene Schilling, Institut für Math. Stochastik, Germany (rene.schilling@tu-dresden.de);

- stochastic processes (Feller, Levy, Markov); path properties of stochastic processes; Dirichlet forms; pseudo-differential operators and Markov processes; (functional, harmonic) analysis and probability

Perla Sousi, University of Cambridge. Cambridge, UK (p.sousi@statslab.cam.ac.uk);

- Markov chains; mixing times; random walks; random walks in dynamic environment; Brownian motion

S.R. Srinivasa Varadhan, New York University, New York, NY  (varadhan@cims.nyu.edu);

- diffusion processes; stochastic differential equations; large deviations; interacting particle systems and their scaling limits; processes in a random environment

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, UK (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

Joel Zinn, Texas A&M University, College Station, TX (jzinn@math.tamu.edu);

- limit theorems, in Banach spaces as well as for empirical processes and U-processes; probability inequalities; probability and convex geometry; strong laws and laws of the iterated logarithm; random matrices

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