Sexing Guppy Fish: Bayesian Inference and Decision Rules
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Description
This lecture covers the sexing of guppy fish using Bayesian inference and decision rules based on fish size, with a focus on the likelihood ratio, prior distributions, and threshold values for accurate sex prediction.
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Ce cours présente une vue générale des techniques d'apprentissage automatique, passant en revue les algorithmes, le formalisme théorique et les protocoles expérimentaux.
Introduces Bayesian estimation, covering classical versus Bayesian inference, conjugate priors, MCMC methods, and practical examples like temperature estimation and choice modeling.