A new approach for semiparametric detection

Author

Amehraye, Asmaa ; Fillatre, Lionel

Author_Institution

Lab. de Rech. et d´´Innovation Technol., ESIGETEL, Avon, France

fYear

2012

fDate

25-30 March 2012

Firstpage

3949

Lastpage

3952

Abstract

Semiparametric detection consists of combining the statistical optimality of a parametric test to the robustness regarding the data of a nonparametric test. This approach is specially interesting in presence of statistical hypotheses depending on unknown probability distributions. The proposed semiparametric approach consists of splitting the measurement vector into two parts such that the first part has a known statistical distribution. Then, it is proposed to calculate a likelihood ratio test based both on the first part and the detection result of a nonparametric test applied to the second part. The statistical performance of the proposed test is analytically established.

Keywords

statistical analysis; statistical distributions; vectors; likelihood ratio test calculation; measurement vector; nonparametric testing; parametric testing; probability distribution; robustness; semiparametric detection; statistical distribution; statistical hypotheses; statistical optimality; Detectors; Measurement; Probability; Robustness; Support vector machines; Testing; Vectors; Likelihood ratio test; Nonparametric test; Semiparametric detection; Support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on

Conference_Location

Kyoto

ISSN

1520-6149

Print_ISBN

978-1-4673-0045-2

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2012.6288782

Filename

6288782