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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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When to use non-parametric regression such as kernel, generalized additive model, spline, an...
There are no standard criteria for taking your choice. As a general tip, you should use the simplest useful model (this sounds great and makes me feel very good about myself, but translating it into p …