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Nonpapametric Smoothing (1)
Consider X Y plot. Draw a regression line which requires no parametric assu mptions The regression line is not linear The regression line is totally dependent on the data Two components of smoothing Kernal function : How to calculate weighted mean Bandwidth : width of the window (span), determines the s moothness of the regression line; wider > smoother
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Nonpapametric Smoothing (2)
Uniform Kernel
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Nonpapametric Smoothing (3)
Triangular Kernel
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Nonpapametric Smoothing (4)
Normal Kernel
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Nonpapametric Smoothing (5)
Default Lowess line : Span=0.5
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Nonpapametric Smoothing (6)
Lowess line : Span=0.2
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Nonpapametric Smoothing (7)
Lowess line : Span=0.1
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Spline
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Df를 늘리면 더 smooth 해짐!
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