Imprecise probability theory extends classical probability by allowing uncertainty to be represented through sets of probability measures rather than single distributions. This approach acknowledges ...

This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, Chernoff bounds and large deviations, martingales, ...

As math gaps continue to widen in many grades, educators face an uphill battle to help students regain ground in the subject. Following historic math declines on the Nation’s Report Card in 2022, a ...