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Large Deviations

Harmonic analysis and applications

Time-Like Graphical Models

Combinatorics and random matrix theory

Probability Theory

Prime numbers and their distribution

Markov Chains and Mixing Times

Large Deviations

The Semicircle Law, Free Random Variables and Entropy

Lectures on contemporary probability

Lectures on Monte Carlo methods

Free Random Variables

Probability through algebra

Fokker-Planck-Kolmogorov equations

Time Changes of the Brownian Motion: Poincare Inequality, Heat Kernel Estimate and Protodistance

Probabilistic Methods in Geometry, Topology and Spectral Theory

Divisors and Sandpiles : An Introduction to Chip-Firing

Weak Convergence of Measures

A Course in Cryptography

Random Matrices

Stochastic processes and functional analysis : new perspectives

Applied Stochastic Analysis

Foundations and Applications of Statistics : An Introduction Using R

Continuous-Time Random Walks for the Numerical Solution of Stochastic Differential Equations

Qualitative Topics in Integer Linear Programming

Selected papers of E.B. Dynkin with commentary

Random Matrix Theory : Invariant Ensembles and Universality

A Course on Large Deviations with an Introduction to Gibbs Measures

The Theory of Probability

Portfolio theory and arbitrage : a course in mathematical finance

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