Bandeau SMCS
EN | FR

Basic concepts and practical applications of Bayesian statistics with R and JASP

[5 demi jours] - [Anglais]

Do you already heard about Bayesian statistics and want to know how to use it in practice?


Bayesian statistics is an alternative approach to the frequentist inference (generally taught in basic statistical courses). More and more used by the scientist community, Bayesian statistics enables, among others, to include prior knowledge (through the prior distribution) in the model specification.


Formations de ce type à venir :

Basic concepts and practical applications of Bayesian statistics with R and JASP [Anglais]
[6 demi jours] - [débute le 20-01-2020 à 09:30]
Visualiser l'instance

Objectifs de la formation
At the end of this course, the attendance will know the fundamental notions (prior distribution, posterior distribution, Bayes Factor) of Bayesian statistics. These notions are illustrated on classical statistical analyses. We will also highlight that JAGS (via R) and JASP are complemantory.

Prérequis
This training requires a basic knowledge of statistics (including notions of estimation). No prior knowledge are required for this training. Hereafter, two introductory links for those who never used R: Introduction to R programming ; Introduction to R objects

Contenu

Outils utilisés durant la formation
R / JASP

Méthodes et familles de méthodes abordées
Bayesian statistics
   Student's t-test
   ANOVA
   Simple linear regression
   Logistic regression
   Multiple linear regression


Veuillez vous identifier pour vous inscrire comme intéressé(e) à une formation.

IDENTIFIANT


MOT DE PASSE




> Créer un compte