Abstract
In certain applications of independent component analysis (ICA) it is of interest to test hypotheses concerning the number of components or simply to test whether a given number of components is significant relative to a "white noise" null hypothesis. We estimate probabilities of such competing hypotheses for ICA based on dynamic decorrelation. The probabilities are evaluated in the so-called Bayesian information criterion approximation, however, they are able to detect the content of dynamic components as efficiently as an unbiased test set estimator.
Original language | English |
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Title of host publication | IEEE International Conference on Acoustics, Speech, and Signal Processing 2001 |
Volume | 5 |
Publication date | 2001 |
Pages | 3197-3200 |
ISBN (Print) | 0-7803-7041-4 |
DOIs | |
Publication status | Published - 2001 |
Event | 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing - Salt Lake City, United States Duration: 7 May 2001 → 11 May 2001 Conference number: 26 |
Conference
Conference | 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Number | 26 |
Country/Territory | United States |
City | Salt Lake City |
Period | 07/05/2001 → 11/05/2001 |
Bibliographical note
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- Datamine
- BIC
- keywords
- ICA
- Chat room