I’m working on a statistics multi-part question and need guidance to help me study.
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i. State and derive the Bias-Variance decomposition for the K-Nearest Neighbor regression
ii. How does the choice of k influence the Bias-Variance trade off of K-nearest neighbor regression? Is 1-nearest neighbor a consistent estimator
iii. How is high dimension d influencing the decomposition?
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