Busemann Divergence

Busemann divergence is a concept used primarily in mathematics and information theory to measure how two probability distributions differ from each other. It focuses on the divergence of "tails," or the extreme values, of these distributions. Unlike traditional measures of divergence, Busemann divergence emphasizes the behavior of rare events, making it useful in fields like finance and risk assessment. In essence, it helps us understand the likelihood of extreme outcomes and how different models or systems compare in predicting those outcomes.