Posts

Your first Stan model: linear regression

Bayesian inference

linear regression

In the previous post we peeked under the hood of brms and saw Stan staring back at us. Now it’s time to write a Stan model ourselves — from scratch, block by block. We’ll…

Why Stan? The engine behind brms

Bayesian inference

You’ve been using Stan all along — you might just didn’t know it. In this opening post of the “From brms to Stan” series, I pull back the curtain on what brms actually does…

How strong is the influence of the priors I have choosen? A short introduction to the `priorsense` package.

Bayesian inference

Defining your prior beliefs about parameters and translating them in probability distributions is key in Bayesian analyses.That’s also one of the typical aspects that…

Visualizing multilevel models estimated in `brms` using hypothetical outcome plots (HOP)

Bayesian inference

Multilevel models can come alive when you visualize them. In this post we walk through an example to show how to make different interesting hypothetical outcome plots to…

Generalizability theory with a Bayesian flavour

Bayesian inference

Generalizability theory

Generalizability theory is a very powerful tool for analyzing the strengths and weaknesses of measurements. It uses estimates of different sources of variance in the…

Time to switch?

Bayesian inference

switching replications

A controlled randomized experiment is often seen as a gold standard in experimental research. But in many situations ethical considerations make it impossible to conduct…

Bayesian multilevel models with brms: a demo with TIMSS2019 data

Bayesian inference

Multilevel modelling

Bayesian statistics is on the rise. There is no doubt about that. But the learning curve is quite steep for many researchers. In this post, I give that extra push as you…

Bayesian analysis of comparative judgement data

Bayesian inference

Comparative Judgement

Comparative Judgement (CJ) is slowly gaining momentum in the context of educational assessment. Data coming from CJ is typically analysed with the BTL-model, making use of a…

To model is to compare

Model comparison

Researchers often rely on null hypothesis testing with p-values to make inferences. Nevertheless the idea of null hypothesis testing comes more and more under pressure. As…

4 Bayesian Stats Concepts you may want to understand

Bayesian inference

In this post I will introduce 4 crucial concepts that will cross your path if you start reading research reporting Bayesian analyses.