Probability and Statistics

Named probabilistic and statistical objects studied as individual constructions rather than as general theorems. Belongs here: the Normal Distribution, the bell-shaped continuous distribution that the central limit theorem makes the default model of accumulated random error; the Markov Chain, a sequence of states in which the next state depends only on the current one, not on the fuller history behind it; Brownian Motion, the continuous-time random process first modeled to describe pollen jitter and later formalized as the Wiener process underlying stochastic calculus. Does not belong here: the general theory of probability or statistics, the branch entity Probability and Statistics, and physical models that happen to use probabilistic methods but whose own subject is a physical system rather than a probabilistic construction, such as the Ising Model, filed under Mathematical Physics, Biology and Game Theory below because that is the cluster its own live SubLabel places it in.