Tutorial 2: Causal inference with mixture of Gaussians
Tutorial 2: Causal inference with mixture of Gaussians
In this tutorial, we will use the concepts introduced in tutorial 1 as building blocks to explore more complicated sensory integration and ventriloquism!
Overview of tutorial
- Learn more about the problem setting, which we will also use in Tutorial 3
- Implement a mixture-of-Gaussian prior
- Explore how that prior produces more complex posteriors
Topics covered in this lesson
- Mixure-of-Gaussians priors
- Bayes' Theorem with complex posteriors
Prerequisites
Experience with Python Programming Language.
Back to the course