UNIVERSITY OF TECHNOLOGY SYDNEY
37457 Advanced Bayesian Methods
This web-page will be updated regularly throughout 37457 Advanced Bayesian Methods,
and all files are
subject to change. It was last updated at 10:48:22 Wed 09 Oct 2024.
File for the Subject Outline
The PDF file for the subject outline
may be here
Advice about Laptop Preparation For Computer Laboratories
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
Files for Assignments
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
A PDF file about print-outs for Assignment 4
(and later assignments) 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) mitsubBayesJAGS.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 PDF file for Assignment 5
may be here
The text file (R script) ratsModel1.R,
needed for Assignment 5, may be here
The PDF file for Assignment 6
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) GuatImmun.txt,
needed for Assignment 6, may be here
The text file (R script) GuatImmunViaStan.R,
needed for Assignment 6, may be here
Files for Class 1
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
Files for Class 2
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 handout for a version of Assignment 1 with streamlined notation may be here
Files for Class 3
The PDF file for the slides given in Class 3
may be here
Files for Class 4
The PDF file for the slides projected in the first hour of Class 4
may be here
The PDF file for the first part of the full conditionals exercise in 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 third (MCMC) 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 handwritten notes based on the left-handedness class data set example
may be here
Files for Class 5
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
Files for Class 6
The PDF file for the DAG for the second half of Class 5 example
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 coral data paper
may be here
A PDF file containing some handwritten notes on autocorrelation function
variability bands may be here
Files for Class 7
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 intercepts model via Stan
may be here
The text file for the R script for fitting
a random intercepts and slopes model via Stan
may be here
The text file for the R script for fitting
a a Bernoulli response random intercepts and slopes
model for the Bangladesh contraception used data via Stan
may be here
Files for Class 8
The PDF file containing Chapter 2
of the Harezlak, Ruppert and Wand (2018)
book may be here
The PDF file on penalized splines
may be here
The PDF file on optional extra quantitative finance examples
may be here
The R script for the GARCH example
may be here
The R script for the stochastic volatility example
may be here
The web-sites containing rstan examples
for quantitative finance models may be
here
and
here
File for Class 9
The PDF file for generalized additive models
may be here
Files for Laboratory 1
The PDF file for Laboratory 1
may be here
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
Files for Laboratory 2
The PDF file for Laboratory 2
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
Files for Laboratory 3
The PDF file for Laboratory 3
may be here
The R script file penSplinesDetails.R
may be here
The data set file ozoneCalif.txt
may be here
The R script file ozoneCalifViaStan.R
may be here
The data set file BostonMortgages.txt
may be here
The R script file BostonMortgagesViaStan.R
may be here
The R script file penSplGEV.R
may be here