Kernel Sliced Inverse Regression: Regularization and Consistency

Figure 1

Dimension reduction for model (35): (a) mean square error for RKSIR with different regularization parameters; (b) mean square error for various dimension reduction methods. The blue line represents the mean square error without using dimension reduction. (c)-(d) RKSIR variates versus nonlinear factors.

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