In genetic analysis, there are often competing explanations for the same data. Sophisticated mathematical models have been developed that can encapsulate these problems in terms of parameters that ...

In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

Students will have the option to specialize in Statistics and Data Science. This specialization is meant to give students the foundational mathematical and computational skills for analyzing data, ...

The paper presents a Bayesian framework for the calibration of financial models using neural stochastic differential equations (neural SDEs), for which we also formulate a global universal ...

The Computational and Applied Mathematics and Statistics (CAMS) has two tracks within the program: Mathematical Biology and Applied Statistics. In its Honors Program, CAMS awards one level of Honors ...