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Lecture
Generalized Linear Models
Description
This lecture covers topics such as probability and modeling, random variables and vectors, expectation, conditional expectation, moment generating functions, exponential family, sampling theory, estimation, hypothesis testing, Bayesian statistics, regression, GLMs, and model selection. The instructor discusses various statistical concepts and methods with worked examples.
Official source
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