Regression methods for prediction. Part I Mixed model and regularization methods. Part II Bayesian approaches

Garin Vincent. 2024. Regression methods for prediction. Part I Mixed model and regularization methods. Part II Bayesian approaches. Montpellier : CIRAD, 2 diaporamas (102 vues, 83 vues)

Résumé : Elements of theory and exercises for regression methods applied in a genomic prediction context.

Mots-clés libres : Regression, Linear Mixed Models, Bayesian statistics, Genomic prediction

Auteurs et affiliations

• Garin Vincent, CIRAD-BIOS-UMR AGAP (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/610010/)

Métriques

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