Introduction to Transparent Bayesian Data Analysis

Overview

Duration: 75 min

Questions

• What is Bayesian data analysis?

• Why use Bayesian data analysis?

• What are limitations of Bayesian data analysis?

• What are important to describe in the data analysis section?

• What are important to report results from Bayesian analysis?

We will start by introducing Bayesian statistical concepts, including prior and posterior distributions as well as the likelihood function. We will then walk through the implementation of several Bayesian models, and compare them with the frequentist analogs, followed up by extensions to these models with respect to increasing transparency. We will later focus on interpreting the posterior distributions of Bayesian models to estimate the probabilities of an effect.