Spring 2018

This blog will serve as a platform for class notes from my two Spring 2018 graduate courses in Bayesian Statistics and Causal Inference at Arizona State University. I’m running the notes from WordPress because it has decent LaTeX support and it is easier than Blackboard.

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The first order of business is to test out the LaTeX functionality. So let’s take a look at Bayes’ rule and some potential outcomes notation.

Bayes’ rule in a line:

p(\theta \mid x) \propto p(x \mid \theta)p(\theta).

Now for potential outcomes, the world’s ungainliest notation. Here is a condition called strong ignorability:

Y(0), Y(1) \perp Z \mid X,

where Z is a dichotomous treatment variable, Y is a response variable, and X is a vector of control variables.

This doesn’t look terrible.

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