Personal Web pages of probabilists
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Research interests include probability, Brownian motion, fractal sets.
Oxford University. Stochastic Analysis, especially the application of stochastic techniques to solving nonlinear PDEs. Stochastic models in biology.
Probability, stochastic processes, financial mathematics and fractals.
University of British Columbia. Research interests: Probability theory, including cellular automata, percolation, matching, coupling.
University of Bristol. Research interests: Probabilistic limit theorems, entropy theory, quantum information theory.
University of Utah. Interests, CV and publications.
University of Wisconsin - Madison. Research interests include limit theorems for stochastic differential equations, particle representations of measure-valued processes, stochastic partial differential equations, filtering for Markov processes, large deviations and modeling of spatial point processes.
Université de Lille 1, Panthéon-Sorbonne. Research interests: Anticipating Stochastic Calculus; Fractional Brownian Motion; Mathematical Finance; Weak Convergence; Stochastic Differential Equations.
Research interests include probability, Brownian motion, fractal sets.
Université de Lille 1, Panthéon-Sorbonne. Research interests: Anticipating Stochastic Calculus; Fractional Brownian Motion; Mathematical Finance; Weak Convergence; Stochastic Differential Equations.
University of Utah. Interests, CV and publications.
Probability, stochastic processes, financial mathematics and fractals.
University of Bristol. Research interests: Probabilistic limit theorems, entropy theory, quantum information theory.
Oxford University. Stochastic Analysis, especially the application of stochastic techniques to solving nonlinear PDEs. Stochastic models in biology.
University of British Columbia. Research interests: Probability theory, including cellular automata, percolation, matching, coupling.
University of Wisconsin - Madison. Research interests include limit theorems for stochastic differential equations, particle representations of measure-valued processes, stochastic partial differential equations, filtering for Markov processes, large deviations and modeling of spatial point processes.