메뉴 건너뛰기




Volumn 85, Issue 3, 1998, Pages 701-710

A crossvalidatory AIC for hard wavelet thresholding in spatially adaptive function estimation

Author keywords

AIC; BIC; Model selection

Indexed keywords


EID: 0002339781     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/85.3.701     Document Type: Article
Times cited : (24)

References (11)
  • 1
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • Budapest:AkademiaKiado Ed. B. N. Petrov and F. Csaki
    • AKAIKE, H. (1973). Information theory and an extension of the maximum likelihood principle. In 2nd International Symposium on Information Theory, Ed. B. N. Petrov and F. Csaki, pp. 267-81. Budapest: Akademia Kiado.
    • (1973) In 2nd International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1
  • 2
    • 0041958932 scopus 로고
    • Ideal spatial adaptation by wavelet shrinkage
    • DONOHO, D. L. & JOHNSTONE, I. M. (1994). Ideal spatial adaptation by wavelet shrinkage. Biometrika 81, 425-55.
    • (1994) Biometrika , vol.81 , pp. 425-455
    • Donoho, D.L.1    Johnstone, I.M.2
  • 3
    • 84950459514 scopus 로고
    • Adapting to unknown smoothness via wavelet shrinkage
    • DONOHO, D. L. & JOHNSTONE, I. M. (1995). Adapting to unknown smoothness via wavelet shrinkage. J. Am. Statist. Assoc. 90, 1200-24.
    • (1995) J. Am. Statist. Assoc. , vol.90 , pp. 1200-1224
    • Donoho, D.L.1    Johnstone, I.M.2
  • 4
    • 70349119250 scopus 로고
    • Regression and time series model selection in small samples
    • HURVICH, C. M. & TSAI, C.-L. (1989). Regression and time series model selection in small samples. Biometrika 76, 297-307.
    • (1989) Biometrika , vol.76 , pp. 297-307
    • Hurvich, C.M.1    Tsai, C.-L.2
  • 5
    • 0001245561 scopus 로고
    • Relative rates of convergence for efficient model selection criteria in linear regression
    • HURVICH, C. M. & TSAI, C.-L. (1995). Relative rates of convergence for efficient model selection criteria in linear regression. Biometrika 82, 418-25.
    • (1995) Biometrika , vol.82 , pp. 418-425
    • Hurvich, C.M.1    Tsai, C.-L.2
  • 6
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • MALLAT, S. G. (1989). A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pat. Anal. Mach. Intel. 11, 674-93
    • (1989) IEEE Trans. Pat. Anal. Mach. Intel. , vol.11 , pp. 674-693
    • Mallat, S.G.1
  • 7
    • 0000674772 scopus 로고    scopus 로고
    • Wavelet shrinkage using cross-validation
    • NASON, G. P. (1996). Wavelet shrinkage using cross-validation. J. R. Statist. Soc. B 58, 463-79.
    • (1996) J. R. Statist. Soc. B , vol.58 , pp. 463-479
    • Nason, G.P.1
  • 9
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • SCHWARZ, G. (1978). Estimating the dimension of a model. Ann. Statist. 6, 461-4.
    • (1978) Ann. Statist. , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 10
    • 0001314395 scopus 로고
    • Asymptotically efficient selection of the order of the model for estimating parameters of a linear process
    • SHIBATA, R. (1980). Asymptotically efficient selection of the order of the model for estimating parameters of a linear process. Ann. Statist. 8, 147-64.
    • (1980) Ann. Statist. , vol.8 , pp. 147-164
    • Shibata, R.1
  • 11
    • 77956887130 scopus 로고
    • An optimal selection of regression variables
    • SHIBATA, R. (1981). An optimal selection of regression variables. Biometrika 68, 45-54.
    • (1981) Biometrika , vol.68 , pp. 45-54
    • Shibata, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.