


<rss version="2.0"><channel><title>Wolfram Demonstrations Project</title><link>http://demonstrations.wolfram.com/</link><description>An Open Resource of Interactive Mathematica Visualizations</description><copyright>Copyright 2009 Wolfram Demonstrations Project &amp; Contributors</copyright><item><title>Nonparametric Regression and Kernel Smoothing: Confidence Regions for the L2-Optimal Curve Estimate</title><link>http://demonstrations.wolfram.com/NonparametricRegressionAndKernelSmoothingConfidenceRegionsFo/</link><description><![CDATA[<img src="http://demonstrations.wolfram.com/NonparametricRegressionAndKernelSmoothingConfidenceRegionsFo/thumbnail.jpg" alt="Nonparametric Regression and Kernel Smoothing: Confidence Regions for the L2-Optimal Curve Estimate preview image" />]]></description><guid>http://demonstrations.wolfram.com/NonparametricRegressionAndKernelSmoothingConfidenceRegionsFo/</guid></item><item><title>Nonparametric Curve Estimation by Kernel Smoothers: Efficiency of Unbiased Risk Estimate and GCV Selectors</title><link>http://demonstrations.wolfram.com/NonparametricCurveEstimationByKernelSmoothersEfficiencyOfUnb/</link><description><![CDATA[<img src="http://demonstrations.wolfram.com/NonparametricCurveEstimationByKernelSmoothersEfficiencyOfUnb/thumbnail.jpg" alt="Nonparametric Curve Estimation by Kernel Smoothers: Efficiency of Unbiased Risk Estimate and GCV Selectors preview image" />]]></description><guid>http://demonstrations.wolfram.com/NonparametricCurveEstimationByKernelSmoothersEfficiencyOfUnb/</guid></item></channel></rss>


