=================================================================== Data Denoising with LOWESS (Locally Weighted Scatterplot Smoothing) =================================================================== :doc:`/SingleStepClassifiers/NonCausalStep/index` This step applies the *LOWESS* algorithm to denoise the input time series data. .. rubric:: Input Parameters 1. One-dimensional time series data .. rubric:: Output Parameters 1. Denoised time series data .. rubric:: Workflow .. image:: workflow.svg .. rubric:: Algorithm :doc:`/Algorithms/LOWESS/index` .. rubric:: References - W.S.\ Cleveland, LOWESS: A program for smoothing scatterplots by robust locally weighted regression, The American Statistician, vol. 35 (1), pp. 54, 1981. - W.S.\ Cleveland, Robust Locally Weighted Regression and Smoothing Scatterplots, Journal of the American Statistical Association, vol. 74 (368), pp. 829-836, 1979. `http://www.people.fas.harvard.edu/~gov2000/Handouts/lowess.pdf `__ - W.S.\ Cleveland, S.J. Devlin, Locally-Weighted Regression: An Approach to Regression Analysis by Local Fitting, Journal of the American Statistical Association, vol. 83 (403), pp. 596-610, 1988. `http://www.econ.pdx.edu/faculty/KPL/readings/cleveland88.pdf `__