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In mathematical statistics, Nadaraya-Watson estimator refers to nonparametric regression estimate formed as a locally weighted average of responses, with weights given by a kernel centered on the predictor value. This meaning comes from Nadaraya (1964) in Theory of Probability & Its Applications.[1]
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