Lorenzo Barberis Canonico > Status Update

Frequentism argues that probability is frequency expressed as a fraction of sample size, therefore it argues that you can't infer probabilities if there are not several identical trials to be observed.

Bayesianism argues that probability is the degree of belief that an event will occur given the state of knowledge, thus analyzes unique events.

Probability Mass Functions (PMFs) are normalized histograms where instead of the frequency of each value we see the probability of each value in the sample

Cumulative Distribution Functions (CDFs) return the percentile rank of a value within a given distribution. This makes the useful for sampling.