subject to change. It was last updated at Fri Sep 23 17:24:10 2022.

The PDF file for the subject outline may be here

Advice about getting laptops ready for this subject's first computer laboratory may be here

Advice about getting laptops ready for this subject's second and later computer laboratories may be here

The PDF file for Assignment 1 may be here

The PDF file for Assignment 2 is not here and can be

obtained by e-mailing (matt.wand@uts.edu.au) the lecturer.

The PDF file for Assignment 3 may be here

The PDF file for Assignment 4 may be here

The PDF file for Assignment 5 may be here

The PDF file for Assignment 6 may be here

The text file (R script) binomBeta.R, needed for Assignment 4, may be here

The text file (R script) binomBetaChk.R, needed for Assignment 4, may be here

The text file (R script) mitsubBayes.R, needed for Assignment 4, may be here

The text file (R function) summMCMC.r, needed for Assignment 4, may be here

The text file (R functions) writeModel.r, possibly needed for Assignment 4, may be here

The text file (R script) NormRandSampMCMC.R, needed for Assignment 4, may be here

The text file (R script) ratsModel1.R, needed for Assignment 5, may be here

The text file (R script) randIntAndSlpViaStan.R, needed for Assignment 6, may be here

The text file (R script) orthodontModel1.R, needed for Assignment 6, may be here

The text file (data set) bacteria.txt, needed for Assignment 6, may be here

The text file (R script) bacteriaViaStan.R, needed for Assignment 6, may be here

The PDF file for the subject opening may be here

The PDF file for the slides titled Some Basics of Distribution Theory may be here

The PDF file for the slides projected in the first hour of Class 2 may be here

The PDF file for the slides projected in the second hour of Class 2 may be here

The PDF file for the slides given in Class 3 may be here

The PDF file for the slides projected in the first hour of Class 4 may be here

The PDF file for the second part of the full conditionals exercise in Class 4 may be here

The PDF file for the slides projected in the second hour of Class 4 may be here

The PDF file for the slides projected in the first hour of Class 5 may be here

The JAGS (via rjags) R script for the Mitsubishi data regression analysis may be here

The Stan (via rstan) R script for the Mitsubishi data regression analysis may be here

The JAGS (via rjags) R script for the travel time/distance regression analysis with

distance subject to missingness may be here

The text file with travel time/distance data collected from members of the class may be here

The PDF file for the slides on autocorrelation functions may be here

The PDF file for the main Class 6 slides may be here

The PDF file for the dicussion on data pre-processing for Bayesian analyses may be here

The PDF file for the overview of grouped data analysis may be here

The PDF file for the whiteboard interlude in the overview of grouped data analysis may be here

The PDF file for the additional aspects of Bayesian analyses of grouped data may be here

The text file for the data set on pig weights may be here

The (comma separated) text file for the data set on school mathematics scores may be here

The text file for the R script for fitting a random intercept model via Stan may be here

The PDF file on penalized splines may be here

The web-sites containing rstan examples for time series models may be here and here

The files for fitting a Bayesian stochastic volatility model using rstan may be here and here.

Note that the R package "astsa" is needed for the data in the Bayesian stochastic volatility example.

The R script file mitsub.R may be here

The R script file BobTheDAG.R may be here

The R script file BobTheDAGwithData.R may be here

The R script file JessicaTheDAGwithData.R may be here

The R script file NathanielTheDAGwithData.R may be here

The R function file summMCMC.r may be here

The R script file ctsNathanielTheDAGwithData.R may be here

The R function file writeModel.r may be here

The R function file Fibonacci.r may be here

The R script file HockeyComp.R may be here

The R script file NewtonRaphson.R may be here