Groups
Category
Level
Conditional probability measures the chance of event A happening when we already know event B happened.
Kolmogorov’s axioms define probability as a measure on events: non-negativity, normalization, and countable additivity.
Probability quantifies uncertainty by assigning numbers between 0 and 1 to events in a sample space.
DP with probability models how chance flows between states over time by repeatedly redistributing mass according to transition probabilities.