We seek a measure of uncertainty that meets the following criteria:
1)  the measure should be continuous
2) it should increase as the number of possible events increases
3)  it should be additive

First Principles of Information Theory

This textbook will primarily be used for subsequent nodes about Bayesian Statistics. It provides a general overview of what Bayesian Statistics is, including example problems and codes. 

University of Michigan - Ann Arbor

McElreath, R. (2020). Statistical Rethinking: A Bayesian Course with Examples in R and STAN (2nd ed.). Chapman and Hall/CRC.

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