Statistical Computing

1.5 credits · Undergraduate

Computer representation of numbers, univariate optimization, multivariate optimization, combinatorial optimization, genetic algorithms, EM algorithm, random number generation, numerical integration, simulation and Monte Carlo integration, Gibbs sampling, Metropolis-Hastings algorithm; bootstrapping. Other topics may include: permutation tests,smoothing, reversible jump MCMC, importance sampling, hybrid Gibbs sampling.