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Probability: Theory and Examples
- R. Durrett
- Mathematics
- 1 September 1993
This book is an introduction to probability theory covering laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a…
Random graph dynamics
- R. Durrett
- Computer Science
- 2007
TLDR
Stochastic Calculus: A Practical Introduction
- R. Durrett
- Mathematics
- 21 August 1996
CHAPTER 1. BROWNIAN MOTION Definition and Construction Markov Property, Blumenthal's 0-1 Law Stopping Times, Strong Markov Property First Formulas CHAPTER 2. STOCHASTIC INTEGRATION Integrands:…
Fixed points of the smoothing transformation
- R. Durrett, T. Liggett
- Mathematics
- 1 September 1983
SummaryLet W1,..., WN be N nonnegative random variables and let
$$\mathfrak{M}$$
be the class of all probability measures on [0, ∞). Define a transformation T on
$$\mathfrak{M}$$
by letting Tμ be…
The Importance of Being Discrete (and Spatial)
- R. Durrett, S. Levin
- Mathematics
- 1 December 1994
Abstract We consider and compare four approaches to modeling the dynamics of spatially distributed systems: mean field approaches (described by ordinary differential equations) in which every…
Equilibrium distributions of microsatellite repeat length resulting from a balance between slippage events and point mutations.
- S. Kruglyak, R. Durrett, M. D. Schug, C. Aquadro
- BiologyProceedings of the National Academy of Sciences…
- 1 September 1998
TLDR
Lecture notes on particle systems and percolation
- R. Durrett
- Physics
- 1988
The simplest growth models. The voter model. The biased voter model. The contact process. One-dimensional discrete time models. Percolation in two dimensions. Mandelbrot's percolation process.…
Brownian motion and martingales in analysis
- R. Durrett
- Mathematics
- 1984
Brownian motion. Stochastic integration. Conditioned Brownian motions. Boundary limits of harmonic functions. Complex Brownian motion and analytic functions. Hardy spaces and related spaces of…
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