Nearest Neighbor Distributions and Noise Variance Estimation

Author

Elia Liitïainen
Francesco Corona
Amaury Lendasse, Missouri University of Science and TechnologyFollow

Abstract

In This Paper, We Address the Problem of Deriving Bounds for the Moments of Nearest Neighbor Distributions. the Bounds Are Formulated for the General Case and Specifically Applied to the Problem of Noise Variance Estimation with the Delta Test and the Gamma Test. for This Problem, We Focus on the Rate of Convergence and the Bias of the Estimators and Validate the Theoretical Achievements with Experimental Results.

Recommended Citation

E. Liitïainen et al., "Nearest Neighbor Distributions and Noise Variance Estimation," ESANN 2007 Proceedings - 15th European Symposium on Artificial Neural Networks, pp. 67 - 72, European Symposium on Artificial Neural Networks, Dec 2007.

Department(s)

Engineering Management and Systems Engineering

International Standard Book Number (ISBN)

978-293030709-1

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 European Symposium on Artificial Neural Networks, All rights reserved.

Publication Date

01 Dec 2007