Skew-Radial Basis Function Expansions for Empirical Modeling

DOI10.1137/08072293XzbMath1206.65041MaRDI QIDQ3066227

Michael J. Kirby, A. A. Jamshidi

Publication date: 10 January 2011

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

zbMATH Keywords

data fittingdata interpolationradial basis functionfunction approximationmanifold learningskew-radial basis function

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Numerical smoothing, curve fitting (65D10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) General nonlinear regression (62J02) Smooth approximations in differential topology (57R12) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical interpolation (65D05) Algorithms for approximation of functions (65D15) Computer-aided design (modeling of curves and surfaces) (65D17) Computational issues in computer and robotic vision (65D19)

Related Items (9)

A Recursive Local Polynomial Approximation Method Using Dirichlet Clouds and Radial Basis Functions ⋮ A semi-analytical framework for structural reliability analysis ⋮ Time varying radial basis functions ⋮ Multivariate function approximations using the D-MORPH algorithm ⋮ Modeling Multivariate Time Series on Manifolds with Skew Radial Basis Functions ⋮ A surrogate based multi-fidelity approach for robust design optimization ⋮ Error-adaptive modeling of streaming time-series data using radial basis functions ⋮ A Radial Basis Function Algorithm with Automatic Model Order Determination ⋮ Convexity and solvability for compactly supported radial basis functions with different shapes

This page was built for publication: Skew-Radial Basis Function Expansions for Empirical Modeling