Bayesian evaluation of (informative) hypotheses

Semester

Semester 1, 2023-2024

Type of course

Methodological and Practical Courses

Date

October 17, 2023

Location

Utrecht University

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Duration

1 day

Maximum number of participants

40

ECTS

0.5 EC will be appointed for participation in the complete course

Staff

Herbert Hoijtink (UU)

Content

In the first half, after shortly highlighting the consequences 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 half 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 second entry there is “KLI”. You can prepare by installing, R, RStudio and the R package 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. If you prefer not to work with R, you can use JASP https://jasp-stats.org/ make certain the software you will use is installed on your computer before coming to the workshop.

Literature

After the workshop you can read the tutorial paper that is included in the course pack.