Cardinal Interpolation

A Bayesian probability density for an interpolating function is developed, and its desirable properties and practical potential are demonstrated. This density has an often needed but previously unachieved property, here called cardinal interpolation, which ensures extrapolation to the density of the...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 29; H. 9; S. 1538 - 1545
Hauptverfasser:	Gustafson, S.C., Parker, D.R., Martin, R.K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Los Alamitos, CA IEEE 01.09.2007 IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Artificial Intelligence Autoregressive processes Bayes Theorem Bayesian analysis Bayesian methods Bayesian statistics Computer science; control theory; systems Computer Simulation Density Exact sciences and technology Extrapolation Gaussian Gaussian processes Interpolation Least squares method Mathematical models Modeling and prediction Models, Statistical Numerical Analysis, Computer-Assisted Optimization methods Pattern Recognition, Automated - methods Polynomials Predictive models Probability Probability and statistics Regression Statistics Studies Variance Bayes estimation probability and statistics Statistical analysis Probabilistic approach Non gaussian noise Modeling Linear model Optimization Variance Probability density Extrapolation interpolation modeling and prediction Gaussian process Least squares method Bayesian statistics regression Smooth function Density function Pattern analysis Artificial intelligence Quadratic function
ISSN:	0162-8828, 1939-3539
Online-Zugang:	Volltext
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