STAT4010 Bayesian Learning (2022 Spring)

Tutorial Information

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

  Tutorial Topics Notes Codes Remark
19-Jan-2022 01 Bayesian Philosophy, Posterior Calculation, R Review Note 01 tut1.R  
26-Jan-2022 02 Representation, Invariant Priors Note 02 tut2.R  
09-Feb-2022 03 Prior Design Note 03 tut3.R  
16-Feb-2022 04 Loss, Risk, and Bayes Estimator Note 04 tut4.R  
23-Feb-2022 05 Adimissibility, Minimax Estimator Note 05 tut5.R  
02-Mar-2022     \ \ Consultation Session
09-Mar-2022     \ \ Consultation Session
16-Mar-2022 06 Bayesian Test, Bayes Factor Note 06 tut6.R  
23-Mar-2022 07 Region Estimation, Coding Problems, Theoretical Justification Note 07 tut7.R  
30-Mar-2022 08 Trapezoidal Rule, Inverse Transform Sampling, Importance Sampling Note 08 tut8.R  
13-Apr-2022 09 Reweighting Importance Sampling, MH algorithm Note 09 tut9.R  
20-Apr-2022 10 Gibbs Sampler, MH within Gibbs Note 10 tut10.R  


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