The Biostatistics, Bioinformatics and Epidemiology Program (BBE) supplies the statistical and mathematical modeling expertise needed within Fred Hutch’s Vaccine and Infectious Disease Division to ...

This book, “Statistical Modeling and Computation,” provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of ...

Kinetic theory and mathematical modelling have emerged as pivotal tools in analysing complex systems – ranging from biological entities and social interactions to financial markets. These methods ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

U.S. Rep. Chrissy Houlahan (D-PA) on Thursday reintroduced the Mathematical and Statistical Modeling Education Act. This bipartisan legislation would work to modernize math curriculum and improve K-12 ...

JESSICA L. GREEN, ALAN HASTINGS, PETER ARZBERGER, FRANCISCO J. AYALA, KATHRYN L. COTTINGHAM, KIM CUDDINGTON, FRANK DAVIS, JENNIFER A. DUNNE, MARIE-JOSÉE FORTIN, LEAH GERBER and MICHAEL NEUBERT ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

The GSMM Camp is a weeklong workshop directed towards interdisciplinary problem solving whose aim is graduate student education and career development. The GSMM Camp is designed to promote a broad ...

Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or ...

In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational ...