Modern multivariate analysis relies heavily on probabilistic modelling to capture the joint behaviour of multiple interdependent variables. At its core lies the formulation of a joint probability ...

Probabilistic uncertainty modeling in hydrology seeks to characterise the range of possible outcomes in water flow and transport predictions by expressing unknowns as probability distributions rather ...

An upcoming paper from CIMM doesn’t just demonstrate that differences in media quality can be measured. It also argues that tying media value to short-term outcomes has perpetuated longstanding ...

For Nhan T. Huynh, the news came in an unexpected email from her former adviser, Michael Ludkovski, a professor in UC Santa Barbara’s Department of Statistics and Applied Probability. The note ...