We describe a method for extending smooth nonparametric modeling methods to time-to-event data where the event may be known only to lie within a window of time. Maximum penalized likelihood is used to ...

This is a preview. Log in through your library . Abstract Generalized additive models are a popular class of multivariate non-parametric regression models, due in large part to the ease of use of the ...

This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs). Extending an ...

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 ...

Dr. Nancy French of MTRI headed a study funded by the National Institute of Environmental Health Sciences, a part of the National Institutes of Health (NIH), to measure and statistically model a ...

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) ...