We propose a two-step estimating procedure for generalized additive partially linear models with clustered data using estimating equations. Our proposed method applies to the case that the number of ...

We propose a new sparsity-smoothness penalty for high-dimensional generalized additive models. The combination of sparsity and smoothness is crucial for mathematical theory as well as performance for ...

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

AI and GIS transform insurance risk modeling; Jwalin Thaker’s wildfire and catastrophe models improve pricing, claims, and ...

Abstract: Water management agencies seek the next generation of modeling tools for planning and operating river basins. Previous site-specific models such as the U.S. Bureau of Reclamation's (USBR) ...