Smoothing

Fast implementation of LOESS for equally spaced samples (possibly using convolution)

Fast implementation of LOESS for equally spaced samples (possibly using convolution)
  1. How does Lowess smoothing work?
  2. What is the difference between Lowess and LOESS?

How does Lowess smoothing work?

Lowess Smoothing: Overview

LOWESS (Locally Weighted Scatterplot Smoothing), sometimes called LOESS (locally weighted smoothing), is a popular tool used in regression analysis that creates a smooth line through a timeplot or scatter plot to help you to see relationship between variables and foresee trends.

What is the difference between Lowess and LOESS?

lowess is for adding a smooth curve to a scatterplot, i.e., for univariate smoothing. loess is for fitting a smooth surface to multivariate data. Both algorithms use locally-weighted polynomial regression, usually with robustifying iterations.

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