Speaker
Jakob Lavröd
(IYPT Sweden)
Description
A common rebuttal to Bayesian methods is that they are appropriate for large and complex problems (containing prior information and hidden variables), and most undergraduate teaching is often based upon frequentist methods. Starting from the context of the practical experimentalist, we explore the difference between the Bayesian and Frequentist methodology and highlights the advantages of teaching the Bayesian perspective already from the start. Many of the examples and the material come from the introductory course given for the students enrolled in the high school giftedness program “International Young Physicists’ Tournament”, an attempt at introducing Bayesian thinking into experimental practice.
Primary author
Jakob Lavröd
(IYPT Sweden)
