A Bayesian Reflection on Surfaces

A Bayesian Reflection on Surfaces

Abstract: The topic of this paper is a novel Bayesian continuous-basis field representation and inference framework. Within this paper several problems are solved: The maximally informative inference of continuous-basis fields, that is where the basis for the field is itself a continuous object and...

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Bibliographic Details
Main Author: David R. Wolf
Format: Article
Language:English
Published: MDPI AG 1999-10-01
Series:Entropy
Subjects:
bayesian inference
generalized Kalman filter
Kalman filter
Kullback-Leibler distance
maximally informative statistical inference
knowledge representation
minimum description length
sufficient statistics
multigrid methods
adaptive scale inference
adaptive grid inference
mutual information
Online Access:http://www.mdpi.com/1099-4300/1/4/69/

Internet

http://www.mdpi.com/1099-4300/1/4/69/

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