2.4.1 & 2 Exponential Family - Maximum Likelihood, Sufficient Statistics, Conjugate Priors - PRML
35:58
2.4.3 Noninformative Priors - Pattern Recognition and Machine Learning
15:19
Sufficient Statistics and the Factorization Theorem
13:44
Consistent Estimator
1:15:14
21. Generalized Linear Models
12:10
12.1.1 Maximum variance formulation of PCA - Pattern Recognition and Machine Learning
28:24
Likelihood | Log likelihood | Sufficiency | Multiple parameters
6:02
An introduction to the concept of a sufficient statistic
7:31