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 ...

For more than two decades, virtually every brain-imaging study that claims to have located a thought, an emotion, or a memory in the living brain has rested on the same statistical backbone: the ...