Notes

Lecture slides

• Bayesian basics
• Selecting priors (conjugate prior derivations,Jeffreys prior derivations)
• Theory (proofs)
• Computing (Derivations)
• Advanced computing (Derivations)
• Hierarchical models (Derivations)
• Model evaluation (Derivations)
• Machine learning

Important links

• Link to Dr Reich’s office hours on Tuesdays and Thursdays from 3-4
• Link to Chenyin Gao’s office hours on Mondays from 10-11