Understanding diet composition is fundamental to making conservation and management decisions about depleted species, particularly when nutritional stress is a potential threat hindering recovery.

This paper studies generalized additive partial linear models with high-dimensional covariates. We are interested in which components (including parametric and non-parametric components) are nonzero.

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 ...

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

The systematic evaluation of the results of time-series studies of air pollution is challenged by differences in model specification and publication bias. We evaluated the associations of inhalable ...