In a standard linear regression, a model is fit to a set of data (the training data); the same linear model applies to all the data. In local regression methods, multiple models are fit to different neighborhoods of the data. A kernel function is used to determine the contribution of the “neighborhood data” to theContinue reading “Kernel function”