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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.
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How to choose between parametric and non-parametric regressions? [closed]
We then perform a a simple linear regression for the parametric model and then run the nonparametric regression. … EDIT: The nonparametric model here in particular is "Local Constant Kernel Regression" …