Local regression Local regression or local polynomial regression,[1] also known as moving regression,[2] is a general statement of the moving average and polynomial regression.[3] It is used for scatterplot smoothing. They are also known as LOESS (locally estimated scatterplot smoothing) and LOWESS (locally weighted scatterplot smoothing), both pronounced /ˈloʊɛs/ LOH-ess in this care. They are two strongly related non-parametric regression methods. In some fields, LOESS is known and commonly known as Savitzky–Golay filter.[4][5] References
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