Analysis of Monte Carlo methods

Abstract

Monte Carlo methods are useful for getting statistical estimates on the values of the connective constant, critical exponents, and other quantities related to self-avoiding walks. Essentially, a Monte Carlo simulation is a computer experiment which observes random versions of a particular system. After we obtain enough data, we can use statistical techniques to get estimates and confidence intervals for the desired quantities.