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Volumn 86, Issue 10, 2006, Pages 3055-3060

A note on overfitting properties of KIC and KICc

Author keywords

AIC; KIC; KICc; Kullback Leibler information; Model selection

Indexed keywords

INFORMATION MANAGEMENT; MATHEMATICAL MODELS; SIGNAL PROCESSING;

EID: 33745852805     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2006.01.002     Document Type: Article
Times cited : (11)

References (13)
  • 2
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • Petrov B.N., and Csaki F. (Eds), Akademia Kiado, Budapest
    • Akaike H. Information theory and an extension of the maximum likelihood principle. In: Petrov B.N., and Csaki F. (Eds). Proceedings of the 2nd International Symposium on Information Theory (1973), Akademia Kiado, Budapest 267-281
    • (1973) Proceedings of the 2nd International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1
  • 3
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike H. A new look at the statistical model identification. IEEE Trans. Automat. Control 19 (1974) 716-723
    • (1974) IEEE Trans. Automat. Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 4
    • 84873751778 scopus 로고    scopus 로고
    • H. Jeffreys, An invariant form of the prior probability in estimation problems, J. Roy. Statist. Soc. A (1946) 453-469.
  • 5
    • 0033130206 scopus 로고    scopus 로고
    • A large-sample model selection criterion based on kullback's symmetric divergence
    • Cavanaugh J.E. A large-sample model selection criterion based on kullback's symmetric divergence. Statist. Probab. Lett. 42 (1999) 333-343
    • (1999) Statist. Probab. Lett. , vol.42 , pp. 333-343
    • Cavanaugh, J.E.1
  • 6
    • 9744257850 scopus 로고    scopus 로고
    • A small sample model selection criterion based on the kullback symmetric divergence
    • Seghouane A.K., and Bekara M. A small sample model selection criterion based on the kullback symmetric divergence. IEEE Trans. Signal Process. 52 (2004) 3314-3323
    • (2004) IEEE Trans. Signal Process. , vol.52 , pp. 3314-3323
    • Seghouane, A.K.1    Bekara, M.2
  • 7
    • 0022733857 scopus 로고
    • Information theory measures with application to model identification
    • Matsuoka T., and Ulrych T.J. Information theory measures with application to model identification. IEEE Trans. Acoust. Speech Signal Process. 34 (1986) 511-517
    • (1986) IEEE Trans. Acoust. Speech Signal Process. , vol.34 , pp. 511-517
    • Matsuoka, T.1    Ulrych, T.J.2
  • 8
    • 70349119250 scopus 로고
    • Regression and time series model selection in small samples
    • Hurvich C.M., and Tsai C.L. Regression and time series model selection in small samples. Biometrika 76 (1989) 297-307
    • (1989) Biometrika , vol.76 , pp. 297-307
    • Hurvich, C.M.1    Tsai, C.L.2
  • 9
    • 19944412486 scopus 로고    scopus 로고
    • A criterion for model selection in the presence of incomplete data based on kullback's symmetric divergence
    • Seghouane A.K., Bekara M., and Fleury G. A criterion for model selection in the presence of incomplete data based on kullback's symmetric divergence. Signal Process. 85 (2005) 1405-1417
    • (2005) Signal Process. , vol.85 , pp. 1405-1417
    • Seghouane, A.K.1    Bekara, M.2    Fleury, G.3
  • 10
    • 33745829923 scopus 로고    scopus 로고
    • H. Shimodaira, A New Criterion for Selecting Models from Partially Observed Data, vol. 89, in: P. Cheenseman, R.W. Oldford (Eds.), Springer, Berlin, 1994.
  • 11
    • 0032536651 scopus 로고    scopus 로고
    • An akaike information criterion for model selection in the presence of incomplete data
    • Cavanaugh J.E., and Shumway R.H. An akaike information criterion for model selection in the presence of incomplete data. J. Statist. Plann. Inference 67 (1998) 45-65
    • (1998) J. Statist. Plann. Inference , vol.67 , pp. 45-65
    • Cavanaugh, J.E.1    Shumway, R.H.2
  • 12
    • 33745824403 scopus 로고    scopus 로고
    • S. Kotz, N.L. Johnson, C.B. Read (Eds.), Encyclopedia of Statistical Sciences, vol. 2, Wiley, New York, 1982.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.