Seonglae ChoFrequentism, Classical Probability, Frequentist school
Frequentists define probability as the long-term ratio of repetitive experiments, whereas Bayesians interpret probability as subjective degree of belief.
It interprets probability as frequency and relies on the likelihood based on observed and unobserved data, resulting in less computational complexity. So there are no Posterior and Prior (prior belief) which means they define probability as only probability by repeated experiments.
The classical frequentist paradigm constructs a Null Hypothesis and an Alternative Hypothesis . We then reason about the quantities and .