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Lecture
Estimation & Bayesian Inference
Description
This lecture covers topics such as demousing, estimation, Bayesian inference, likelihood, AWGN, prior probability, evidence, and posterior probability. It explains concepts like conditional probability, entropy, and the Bayes theorem.
Official source
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