Automatic transaction of signal via statistical modeling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1532, Issue , 1988, Pages 375-386

  Kitagawa, Genshiro ^a   Higuchi, Tomoyuki ^a  

^a INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

AKAIKE INFORMATION CRITERION; AUTOMATIC MODELING; KULLBACK-LEIBLER INFORMATION; LIKELIHOOD FUNCTIONS; MATHEMATICAL REPRESENTATIONS; PREDICTIVE DISTRIBUTIONS; STATISTICAL INFORMATION; STATISTICAL MODELING;

STATISTICAL METHODS;

EID: 84949214518     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (17)

1. Akaike, H. (1972), “Automatic Data Structure Search by the Maximum Likelihood”, Computers in Biomedicine, A Supplement to the Proceedings of the Fifth Hawaii International Conference on Systems Sciences, Western Periodicals, California, 99–101.
2. Akaike, H. (1973), “Information Theory and an Extension of the Maximum Likelihood Principle”, 2nd International Symposium in Information Theory, Petrov, B.N. and Csaki, F. eds., Akademiai Kiado, Budapest, pp. 267–281. (Reproduced in Breakthroughs in Statistics, Vol.I, Foundations and Basic Theory, S. Kots and N.L. Johnson, eds., Springer-Verlag, New York, 1992, 610–624.)
3. Akaike, H. (1974), “A New Look at the Statistical Model Identification”, IEEE Transactions on Automatic Control, AC-19, 716-723.
4. Bozdogan, H. (1994), Proceeding of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach, Kluwer Academic Publishers.
5. Higuchi, T. and Ohtani, S. (1998), “Automatic Identification of Large-Scale Field- Aligned Current Structure,” Research Memorandom, No. 668, The Institute of Statistical Mathematics. http://www.ism.ac.jp/~higuchi/AIFACpaper.html
6. Hiragi, Y., Urakawa, H., and Tanabe, K. (1985), “Statistical Procedure for Deconvoluting Experimental Data,” J. Applied Physics, 58, No. 1, 5–11.
7. Ishiguro, M., Sakamoto, Y. and Kitagawa, G. (1997), “Bootstrapping log likelihood and EIC, an extension of AIC,” Annals of the Institute of Statistical Mathematics, Vol. 49, No. 3, 411–434.
8. Ja-Yong, Koo (1997). “Spline Estimation of Discontinuous Regression Functions,” J. Computational and Graphical Statistics, 6, No. 3, 266–284.
9. Kitagawa, G. and Gersch, W. (1996), Smoothness Priors Analysis of Time Series, Lecture Notes in Statistics, No. 116, Springer-Verlag, New York.
10. Kitagawa, G. and Matsumoto, N. (1996), “Detection of Coseismic Changes of Underground water Level”, Journal of the American Statistical Association,Vol. 91, No. 434, 521–528.
11. Konishi, S. and Kitagawa, G. (1996), “Generalized Information Criteria in Model Selection”, Biometrika, Vol. 83, No. 4, 875–890.
12. Ohtani, S., Potemra, T.A., Newell, P.T., Zanetti, L.J., Iijima, T., Watanabe, M., Blomberg, L.G., Elphinstone, R.D., Murphree, J.S., Yamauchi, M., andWoch, J.G. (1995). “Four large-scale field-aligned current systems in the dayside high-latitude region,” J. Geophysical Research, 100, A1, 137–153.
13. Rissanen, J. (1978), “Modeling by shortest data description,” Automatica, Vol. 14, 465–471.
14. Sakamoto, Y. and Akaike, H. (1978), “Analysis of cross-classified data by AIC”, Annals of the Institute of Statistical Mathematics, Vol. 30, No.1, 185–197.
15. Simon, H. A. (1977), Models of Discovery, D. Reidel Publishing Company, 38–40.
16. Simon, H. A., Veldes-Perez, R. E. and Sleeman, D. H. (1997), “Scientific discovery and simplicity of method,” Artificial Intelligence, Vol. 91, 177–181.
17. Takanami, T. and Kitagawa, G. (1991), “Estimation of the Arrival Times of Seismic Waves by Multivariate Time Series Model”, Annals of the Institute of Statistical mathematics, Vol. 43, No. 3, 407–433.