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Use this tag to ask about the nature of nonparametric or parametric methods, or the difference between the two. Nonparametric methods generally rely on few assumptions about the underlying distributions, whereas parametric methods make assumptions that allow data to be described by a small number of parameters.
1
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Nonparametric and parametric parts in semiparametric credit scoring
It's called "nonparametric" because, rather than trying to fit the trend for $T$ using fixed terms like a polynomial or a spline (or cutting it into bands), you're letting the data determine the fit for … In principle, any continuous variable that you fit in the parametric part can be replaced by a nonparametric fit. …
17
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Why is Pearson parametric and Spearman non-parametric
The problem is that "nonparametric" really has two distinct meanings these days. The definition in Wikipedia applies to things like nonparametric curve fitting, eg via splines or local regression. …