Probability and Its Applications

Introduction to Probability and Its Applications

The Cambridge Dictionary of Probability and its Applications

Results in Distribution Theory and Its Applications Inspired by Quantile Generated Probability Distributions

Introduction to Probability Theory and Its Applications, Volume 1

Introduction to Probability Theory and Its Applications, Volume 2

Modern Probability Theory and Its Applications

Abraham De Moivre

Setting the Stage for Classical Probability and Its Applications

Feynman-Kac Formulae

Genealogical and Interacting Particle Systems with Applications

Introduction to the Theory of Point Processes

Volume II: General Theory and Structure

Probabilistic Symmetries and Invariance Principles

Probability Measures on Semigroups

Convolution Products, Random Walks and Random Matrices

Probability Models for DNA Sequence Evolution

Probabilistic Techniques in Analysis

Marked Point Processes on the Real Line

The Dynamical Approach

Bonferroni-type Inequalities with Applications

Introduction to the Theory of Point Processes

Volume I: Elementary Theory and Methods

Diffusions and Elliptic Operators

Mass Transportation Problems

Volume 1: Theory

Mass Transportation Problems

Applications

Decoupling

From Dependence to Independence

Spectral Theory of Random Schrödinger Operators

Modern Approach to Probability Theory

Self-Avoiding Walk

Intersections of Random Walks

Stochastic Partial Differential Equations

A Modeling, White Noise Functional Approach

Laws of Chaos

Invariant Measures and Dynamical Systems in One Dimension

Random Series and Stochastic Integrals: Single and Multiple

Single and Multiple

Point Process Theory and Applications

Marked Point and Piecewise Deterministic Processes

Feynman-Kac Formulae

Genealogical and Interacting Particle Systems with Applications