A Temple University environmental engineer has outlined new mathematical procedures, or techniques, to produce analytical solutions of the complex, non-linear equations of water flow in soils ...

For models with canonical link functions, unbiased estimating equations are derived. The maximum likelihood estimator for the normal theory, structural linear instrumental variable model is shown to ...

In a new paper, researchers show that even the most sophisticated general-purpose AI language models struggle to solve math problems.

DTSA 5013 Generalized Linear Models and Nonparametric Regression DTSA 5013 Generalized Linear Models and Nonparametric Regression Specialization: Statistical Modeling for Data Science Applications ...

Course Topics Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous ...

This unit builds on the basic ideas of linear models introduced in Probability and Statistics 1 (MATH 11340), and Linear Models (MATH 35110), and extends them to deal with more general specifications.

AI models supposedly did well on International Math Olympiad problems, but how they got their answers reminds us why we still need people doing math ...