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Showing 1 to 2 of 2 for “"double-smoothing"”.
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Bias Assessment and Reduction in Kernel Smoothing
… local polynomial regression (LPR) with kernel smoothing, the choice of the smoothing parameter, or bandwidth, is critical. The performance of the method is often evaluated using the Mean Square Error (MSE). Bias and variance are two components of MSE. Kernel methods are known to exhibit varying …
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A Mixture-based Framework for Nonparametric Density Estimation
… estimation approaches differing in the way smoothing is incorporated in the disparity objective function. For the selection of the bandwidth parameter, we study some popular methods such as cross-validation and information criteria-based model selection methods. Also, new algorithms are …