A bayesian approach to blind source separation

Journal of Interdisciplinary Mathematics

Volumn 5, Issue 1, 2002, Pages 49-76

  Rowe, Daniel B ^a  

^a MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN STATISTICAL APPROACH; INDEPENDENT COMPONENTS; NUMBER OF SOURCES; POSTERIOR DISTRIBUTIONS; PRINCIPAL COMPONENTS; PRIOR DISTRIBUTION; SOURCE DISTRIBUTION;

BAYESIAN NETWORKS;

BLIND SOURCE SEPARATION;

EID: 22944434926     PISSN: 09720502     EISSN: None     Source Type: Journal    
DOI: 10.1080/09720502.2002.10700306     Document Type: Article

References (17)

1. T. W. Anderson and H. Rubin, Statistical inference in factor analysis, in Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, 1956, VoL 5, pp. 345-357, University of California Press.
2. A. J. Bell and T. J. Sejnowski, An information-maximization approach to blind separation and blind deconvolution, Neural Computation, Vol. 7, No.6, pp. 1004-1034, 1995.
3. K Knuth, Bayesian source separation and localization, in A. Mohammad-Djafari, editor, SPIE'98 Proceedings: Bayesia1l. Inference for Inverse Problems. San Diego, CA, pp. 147-158, July 1998.
4. K Knuth, A Bayesian approach to source separation, in C. Jutten, J. -F. Cardoso and P. Loubaton, editors, Proceedings of the First International Workshop on Independent Component Analysis and Signal Separation: ICA'99, Aussios, France, pp. 283-288, 1999.
5. D. N. Lawley, The estimation of factor loadings by tha method of maximum likelIhood, Proceedings of the Royal Society of Edinburgh, Vol. 60, pp. 64-82, 1940.
6. S. E. Lee, Robustness of Bayesian Factor Analysis Estimates, Ph.D. thesis, Department of Statistics, University of California. Riverside. 1994.
7. S. E. Lee and S. J. Press, Robustness of Bayesian factor Analysis Estimates, Communications in Statl:stics - Theory and Methods, VoL 27, No.8, 1998.
8. D. J. C. MacKay, Maximum likelihood and covariant algorithms for independent component analysis, Working Paper, Draft 3.7, University of Cambridge. Cavin dish Laboratory, Cambridge, UK, 1996.
9. A. Mohammad-Djafari, A Bayesian estimation methoa for detection, localisation and estimation of superposed sources in remote sensing, in SPIE 97 anlwal meeting, (San Diego, CA, USA, July 27-Aug. 1, 1997), 1997
10. A. Mohammad-DJafari. A Bayesian approach to source separation. in Proceedings of The Nineteenth International Conference 011 Maximwn Entmpy and Bayesian Methods. (August 2-6. 1999. Boise. 10.). 1999.
11. S. J. Press. Applied 111l1ltiuanal!' Analyst~: Using Ba,Iesiall and Freqnentlst Methods of Inference. Robert E. Kriegel' Publishing Company. Malabar, Florida. 1982.
12. S. J. Press. Bayes/:an Statistics: Principles, Models and Applicat.iol!s, John Wiley and Sons, New York, 1989.
13. S. J. Press and K Shigemasu, Bayesian inference in factor analysis, in Contributions to Probability and Statistics, Chapter 15, Springer-Verlag, 1989.
14. S. J. Press and K Shigemasu, Bayesian inference in factor analysis Revised, Tech. Rep. No. 243, Department of Statistics. University of California, Riverside. May 1997.
15. S. J. Press and K Shigemasu, Posterior distribution for the number of factors, Tech. Rep. No. 208, Department of Statistics, University of California, Riverside, April 1994.
16. D. B. Rowe and S. J. Press, Gibbs sampling and hill climbing in Bayesian factor analysis, Tech. Rep. No. 255. Department of Statistics, University of California, Riverside, May 1998.
17. D. B. Rowe, Correlated Bayesian Factor Analysis, Ph.D. thesis, Department of Statistics, University of California, Riverside, 1998.