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 ...

Entropy and information theory form a cornerstone of modern statistical and communication sciences. Entropy serves as a fundamental measure of uncertainty and information content in both physical and ...

Entropy and information theory offer a robust quantitative framework for decoding the complexity inherent in landscape patterns. By drawing from principles in thermodynamics and statistical mechanics, ...