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.

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