# Probability Theory

- date: 2018-01-01

I review Math 451: Probability Theory as taught by Chris Remein. This was a correspondence course I took through the University of Idaho Fall 2017.

I wrote up my
coursework
in jupyter notebooks, though didn’t really need to
make computations. The notebooks were a mix of (quite) awkward typesetting and a
couple of calls from `scipy`

. I used Bruce Shapiro’s
Scientific Computation as a
guide.

Remien’s lectures could have been organized. Similarly, our textbook
*Stochastic Modeling and Mathematical Statistics* by Francisco J. Samaniego
wanted for structure.

To complement the colloquial lectures and text, I referenced Paul Pfeiffer’s
*Probability for Applications*.
I prefer deliberately thinking about random variables as inverse images, which
Pfeiffer’s exposition makes plain.