regression. A Markov chain Monte Carlo algorithm is presented to sample bandwidths for the kernel estimators of the regression … favored against wrong assumptions of the error density. We apply our sampling algorithm to a nonparametric regression model of …We approximate the error density of a nonparametric regression model by a mixture of Gaussian densities with means …

identify a reliable model, artificial neural networks (ANN) and support vector regression (SVR) models are compared based on …’s approval rate, and others are considered in a stepwise regression to identify significant variables. The president’s approval … to linear regression based on each method’s calculated performance measures. The SVR model is identified as the most …