IEEE 30-bus simulations show that fixed linear power-flow models become less accurate as operating conditions expand, while ...

Generalized linear models (GLMs) provide a unifying framework for analysing count data by relating a linear predictor to the expected value of a response variable through a suitable link function. In ...

A generalized additive model (GAM) is an extension of generalized linear models (GLM) that more accurately model complex relationships between the predictor variables (variables that can affect the ...

Summary: For the robust estimation of evoked brain activity from functional Near-Infrared Spectroscopy (fNIRS) signals, it is crucial to reduce nuisance signals from systemic physiology and motion.

Linear regression is a statistical technique that identifies the relationship between the mean value of one variable and the corresponding values of one or more other variables. By understanding the ...