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Covers local averaging predictors, including K-nearest neighbors and Nadaraya-Watson estimators, as well as local linear regression and its applications.
Explores Gaussian breakdown and return time distribution in chemistry, emphasizing the importance of forgetting constants and analyzing gene transcription factors.
Introduces statistical inference concepts, focusing on parameter estimation, unbiased estimators, and mean estimation using independent random variables.
