Probability

Probability theory measures uncertainty, built on a measure space of total mass one, with random variables as measurable functions and expectation as an integral. That framing is what lets limit theorems be proved rather than asserted, and what connects probability to analysis. Writing here uses probability where it meets geometry and estimation, and where a distribution is treated as a point on a manifold rather than a table of numbers.