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 ...

Empirical modeling involves the development of models that explain, predict, or simulate a particular aspect of the world, rather than purely theoretical or abstract principles. Empirical modeling ...

This course is designed for engineering graduate students who are interested in furthering their knowledge in advanced and emerging methods of engineering design, with the focus on computational ...

Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...