October 24, 2011

Simulation I: Generating Random Variables (Introduction to Statistical Computing)

Lecture 16: Why simulate? Generating random variables as first step. The built-in R commands: rnorm, runif, etc.; sample. Transforming uniformly-distributed random variables into other distributions: the quantile trick; the rejection method; illustration of the rejection method. Understanding pseudo-random number generators: irrational rotations; the Arnold cat map as a toy example of an unstable dynamical system; illustrations of the Arnold cat map. Controlling the random number seed.

Introduction to Statistical Computing

Posted at October 24, 2011 13:54 | permanent link

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