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I got by with half-remembered stuff from first year of my undergrad and the lecture notes and then the stuff on general linear models in Bishop's Pattern Recognition and Machine Learning that I was using for a different unit. Most of it is pretty straightforward and most of the reading I did was for interest instead of learning.
While we're on book recommendations: Suggested books for likelihood methods? Ideally something that doesn't shy away from the information theory angle.
