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. Author manuscript; available in PMC: 2013 Mar 27.
Published in final edited form as: Neural Comput. 2010 Nov 24;23(2):374–420. doi: 10.1162/NECO_a_00076

Figure 5.

Figure 5

Empirical convergence of gSURE2PLS methods compared to optimal BLS solution, as a function number of data observations, for three different parameterized estimators. (a) Three-bump kernel estimator. (b) Fifteen-bump kernel estimator. (c) Soft thresholding (SUREshrink). (d) Comparisons of gSURE2PLS and supervised regression, for the 15-bump kernel estimator. All simulations use a generalized gaussian prior (exponent 0.5) and additive gaussian noise. Noisy SNR is 4.8 dB.