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Bayesian inference #1 Flashcards | StudBud
Bayesian inference #1
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What is the correct version of the Bayes theorem:
A
Likelihood = PDF(data, parameters)
B
Bayesian statistics are always better than Maximum Likelihood
C
Posterior = (likelihood * prior)/ marginal likelihood
D
Marginal likelihood = posterior * likelihood of the data * prior
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