Computational Statistics 2008 STAT 7593 (6969) - 3 course hours January to April 2008 Meets Wednesdays at 1:30 to 4:30 in room HSEB 2948. Resources A culumative set of notes for the course. Where to get the R statistical environment and documentation. Where to get Java . 0 Introduction. 1 One dimensional optimization. 2 Multi dimensional optimization. Here are some Java programs implementing the Nelder-Mead simplex method. Point.java Amoeba.java Function.java Point.java NelderMead.java TestNelderMead.java 3 The EM Algorithm. The hamster data set. f.simmix f.estmix 4 Stochastic optimization. Some stochastic optimization programs in R f.modes f.uphill f.metropolis f.anneal 5 The Bootstrap. 6 The Jackknife. the heights data the weights data Midterm the question the lightbulbs data 7 Cross validation. the crossvalid data 8 Metropolis and Hastings sampling. 9 Gibbs sampling. the images R functions