Bayesian evaluation of (informative) hypotheses

Semester

Semester 1, 2021-2022

Type of course

Methodological and Practical Courses

Date

October 4 and October 6, 2021

Location

T.B.A.

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Duration

2 days

Maximum number of participants

40

ECTS

1 EC will be appointed for participation in the complete course

Staff

Herbert Hoijtink (UU)

Content
In the first meeting, after a short introduction of the “replication crisis” participants will be acquainted with: Informative Hypotheses, Bayes factor, Bayesian error probabilities, and Bayesian Updating. All using concepts and examples, formulas will NOT be a part of this course. In the second meeting there will be more attention for the Bayes factor, “hands on” using the R package bain, and a discussion.Learning goals: Learn to setup, apply and interpret Bayesian hypothesis evaluation.

Preparation
The course materials can be downloaded from https://informative-hypotheses.sites.uu.nl/software/bain/ At the bottom of  that page you find “workshops” and the first entry there is “KLI”. 
You can prepare by reading the tutorial paper, installing, R, RStudio and bain, and, if you need to refresh your R skills, do the R hands on mini course that can be found in the folder R labmeeting.