Non-Gaussian MLE Estimation of Kernel Parameters
Description Maximum likelihood estimation (MLE) of the unknown kernel parameters for spline/radial basis function/kriging methods of function approximation is typically based on assuming that the...
Description Maximum likelihood estimation (MLE) of the unknown kernel parameters for spline/radial basis function/kriging methods of function approximation is typically based on assuming that the...
Description Maximum likelihood estimation (MLE) of the unknown kernel parameters for spline/radial basis function/kriging methods of function approximation is typically based on assuming that the...
Event Topic: Computational Mathematics & Statistics
Event Topic: Computational Mathematics & Statistics
Description I plan to talk on optimal cubature formulas, which recover the integral of a function along a d-dimensional ball from its mean values along n concentric (d-1)-dimensional spheres inside...
Speaker Peter Qian University of Wisconsin - Madison http://www.stat.wisc.edu/~zhiguang/ Description Equipped with modern numerical and simulation techniques, computer experiments have become...