Lecture 3 - Bayesian graphical models

Content: Bayesian graphical models
Lecturer: Niklas Wahlström
Slides: lecture3_handout.pdf Download lecture3_handout.pdf

Reading: Bishop: 8, 8.1, 8.2; alternatively, Barber: 3.2.1, 3.3, 3.3.1-4. Warning: Bishop and Barber diverge a bit in their notation and conventions; In class we use the terminology from Bishop. Links to an external site.
Place: Zoom