Cheung–Marks theorem

Cheung–Marks theorem is a result in the field of probability theory, particularly in the study of random variables and their distributions. It generally concerns the convergence of certain sequences of probability measures and provides conditions under which weak convergence occurs. The theorem is significant in the context of Stochastic Processes and can be applied in various areas such as statistical mechanics, financial mathematics, and queueing theory, among others.