The entropy score of an observed outcome that has been given a probability forecast p is defined to be -log p. If p is derived from a probability model and there is a background model for which the ...

Information theory provides a mathematical framework for quantifying information and uncertainty, forming the backbone of modern communication, signal processing, and data analysis. Central to this ...

In this paper, fully discrete entropy conditions of a class of high resolution schemes with the MmB property are discussed by using the theory of proper discrete entropy flux for the linear scalar ...