STAT4010 Bayesian Learning (2023 Spring)

Tutorial Information

Time: TBA Venue: TBA Zoom ID: TBA (with the same password as used in the lecture)

19-Jan-202201Bayesian Philosophy, Posterior Calculation, R ReviewNote 01tut1.R 
26-Jan-202202Representation, Invariant PriorsNote 02tut2.R 
09-Feb-202203Prior DesignNote 03tut3.R 
16-Feb-202204Loss, Risk, and Bayes EstimatorNote 04tut4.R 
23-Feb-202205Adimissibility, Minimax EstimatorNote 05tut5.R 
02-Mar-2022  \\Consultation Session
09-Mar-2022  \\Consultation Session
16-Mar-202206Bayesian Test, Bayes FactorNote 06tut6.R 
23-Mar-202207Region Estimation, Coding Problems, Theoretical JustificationNote 07tut7.R 
30-Mar-202208Trapezoidal Rule, Inverse Transform Sampling, Importance SamplingNote 08tut8.R 
13-Apr-202209Reweighting Importance Sampling, MH algorithmNote 09tut9.R 
20-Apr-202210Gibbs Sampler, MH within GibbsNote 10tut10.R 


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