Bayes estimation of number of signals

Author:

Bansal N. K.,Bhandary M.

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Reference24 articles.

1. Akaike, H. (1972). Information theory and an extension of the maximum likelihood principle, Proc. Second International Symposium on Information Theory, Supp. to Problems of Control and Information Theory, 267?281.

2. Anderson, T. W. (1963). Asymptotic theory for principal component analysis, Ann. Math. Statist., 34, 122?148.

3. Anderson, T. W. (1984). An Introduction to Multivariate Statistical Analysis, Wiley, New York.

4. Constantine, A. G. (1963). Some non-central distribution problems in multivariate analysis, Ann. Math. Statist., 34, 1270?1285.

5. Davis, A. W. (1979). Invariant polynomials with two matrix arguments extending the zonal polynomials: Application to multivariate distribution theory, Ann. Inst. Statist Math., 31, Vol. No. 465?485.

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1. A Selection Procedure for the Number of Signals in Presence of Colored Noise;Communications in Statistics - Theory and Methods;2009-05-06

2. Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples;IEEE Transactions on Signal Processing;2008-07

3. Sample size cognizant detection of signals in white noise;2007 IEEE 8th Workshop on Signal Processing Advances in Wireless Communications;2007-06

4. Estimating the number of signals in the presence of white noise;Journal of Statistical Planning and Inference;2000-09

5. Bayes estimation of intraclass correlation coefficient;Communications in Statistics - Theory and Methods;2000-01

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