Abstract: Large deviations theory is a well-studied area which has shown to have numerous applications. The typical results, however, assume that the underlying random variables are either i.i.d. or ...

Abstract: Latin hypercube designs are commonly used in many applications such as, computer and physical experiments, data selection by sampling techniques and recently in machine learning. The aim of ...

This project is not actively worked on right now (May 2023). Until now only the two steps of the first stage of Park's algorithm are implemented. To Dos: Cleaning up the code, modularization More ...