Nonparametric regression is a type of statistical modeling that does not assume a specific functional form for the relationship between the independent and dependent variables. This flexibility allows it to model complex, non-linear relationships without the constraints of traditional parametric methods, making it particularly useful when the underlying relationship is unknown or complicated.
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