#>reasoning_under_uncertainty
events distributions bayes

Math / Building Blocks

Reasoning Under Uncertainty

Probability gives uncertainty a number. An event has a probability between 0 and 1; a distribution describes how likely every outcome is; conditional probability asks how likely something is once you know something else, which is the heart of Bayes' rule. Statistics runs probability backwards: from the data you observed to what probably produced it.

#>probability_essentials

Probability Essentials

Seeing Theory

A visual introduction to probability and statistics from Brown University.

seeing theory

A complete course

Harvard's Stat 110, lectures and problems free online.

harvard: stat 110

Updating on evidence

Bayes' theorem, with worked examples.

wiki: Bayes