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Alexander Ly advocates the use of Bayes factors in empirical research to replace or complement standard null hypothesis tests based on p-values. These Bayes factors are specifically designed to quantify the evidence for or against the existence of an effect. They allow its users to acknowledge uncertainty, so that evidence can be updated continually in light of new data. To make these Bayes factors accessible to empirical scientists, Ly has implemented them in JASP, a freely available open-source statistics program.

Event details of Bayes factors in empirical research
Date 19 January 2018
Time 13:00 -14:00
Location Aula - Lutherse kerk
Room Location

A. Ly: Bayes Factors for Research Workers.

Supervisor

Prof. E.M. Wagenmakers

Co-supervisor

Dr M. Marsman

Aula - Lutherse kerk

Room Location

Singel 411
1012 XM Amsterdam

Entrance

This event is open to the public.