Resources

Bayesian statistics?! Once an obscure term outside specialized industry and research circles, Bayesian methods are enjoying a renaissance. The title of this book speaks to what all the fuss is about: Bayes rules! Bayesian methods provide a powerful …

This site is dedicated to the book “Bayesian Cognitive Modeling: A Practical Course”, published by Cambridge University Press.

This blog post is about a new statistical visualization. This time I’ve tried to illustrate the logic of bayesian updating and hypothesis testing, using a Bayesian t-test.

Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and …

Experienced Registered Reports editors and reviewers come together to discuss the format and best practices for handling submissions. The panelists also share insights into what editors are looking for from reviewers as well as practical guidelines …

A video about battling bad science

Several researchers recently outlined unacknowledged costs of open science practices, arguing these costs may outweigh benefits and stifle discovery of novel findings. We scrutinize these researchers’ (a) statistical concern that heightened …

This repository contains materials and talks for the Berlin|Oxford Summer School 2020 from 28th September to 1st of October

Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, reliability and collaboration. We describe insights …

In recent years, a robust movement has emerged within psychology to increase the evidentiary value of our science. This movement, which has analogs throughout the empirical sciences, is broad and diverse, but its primary emphasis has been on the …