Computational Rationalization: The Inverse Equilibrium Problem - 599_icmlpaper.pdf.
Central limit theorem. The central limit theorem has a number of variants.
In its common form, the random variables must be identically distributed. In variants, convergence of the mean to the normal distribution also occurs for non-identical distributions, given that they comply with certain conditions. In more general probability theory, a central limit theorem is any of a set of weak-convergence theorems. They all express the fact that a sum of many independent and identically distributed (i.i.d.) random variables, or alternatively, random variables with specific types of dependence, will tend to be distributed according to one of a small set of attractor distributions. Mission Risk Diagnostic (MRD) Method Description - 12tn005.pdf.
Behavior.dvi - amaas_aaaisymp.pdf.