Duquesne University Statistical Computing Course Spring 2015
Random Monte Carlo Integration
Simulating Distributions
Simulating Distributions: Beta Probabilities, Standard Normal Probabilities, Bivariate Normal Probabilities
Gibbs Sampling
Bayesian Inference: Gibbs Sampler, Theoretical Draws
Bayesian Inference: Gibbs Function
Metropolis Sampling
Metropolis Hastings Sampling
Logistic Bayes and Newton-Raphson
Newton-Raphson
Logistic Bayes
Gibbs Two-Comp Normal Mixture
Gibbs Linear Regression
Statistical Computing final exam