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This chapter delves into Kernel regression, Local Regression, Varying Coefficients, Kernel Density Estimation, Locally Weighted Regression, Local Polynomial Regression, Equivalent Kernels, and DF Conditional Plots. It also covers the Trellis Display, Kernel Density, and Classification Issues with Model Selection.
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Chapter 6: Kernel Methods • Kernel regression and Local Regression • Varying Coefficients • Kernel Density estimation