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Volumn 13, Issue 2, 2003, Pages 297-310

An asymptotic theory for SIRα method

Author keywords

Asymptotics; Eigen elements; Semiparametric regression model; Sliced inverse regression (SIR)

Indexed keywords


EID: 0037706975     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (34)

References (17)
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    • Aragon, Y.1    Saracco, J.2
  • 2
    • 84950429607 scopus 로고
    • Measurement error regression with unknown link: Dimension reduction and data visualization
    • Carroll, R. J. and Li, K. C. (1992). Measurement error regression with unknown link: dimension reduction and data visualization. J. Amer. Statist. Assoc. 87, 1040-1050.
    • (1992) J. Amer. Statist. Assoc. , vol.87 , pp. 1040-1050
    • Carroll, R.J.1    Li, K.C.2
  • 3
    • 84881499895 scopus 로고
    • Discussion of "sliced inverse regression"
    • Cook, R. D. and Weisberg, S. (1991). Discussion of "Sliced inverse regression". J. Amer. Statist. Assoc. 86, 328-332.
    • (1991) J. Amer. Statist. Assoc. , vol.86 , pp. 328-332
    • Cook, R.D.1    Weisberg, S.2
  • 4
    • 0000975683 scopus 로고
    • Slicing regression: A link-free regression method
    • Duan N. and K. C. Li (1991). Slicing regression: a link-free regression method. Ann. Statist. 19, 505-530.
    • (1991) Ann. Statist. , vol.19 , pp. 505-530
    • Duan, N.1    Li, K.C.2
  • 5
    • 0032337534 scopus 로고    scopus 로고
    • Determining the dimension in sliced inverse regression and related methods
    • Ferré, L. (1998). Determining the dimension in Sliced Inverse Regression and related methods. J. Amer. Statist. Assoc. 93, 132-140.
    • (1998) J. Amer. Statist. Assoc. , vol.93 , pp. 132-140
    • Ferré, L.1
  • 7
    • 0041753016 scopus 로고
    • On almost linearity of low dimensional projections from high dimensional data
    • Hall, P. and Li, K. C. (1993). On almost linearity of low dimensional projections from high dimensional data. Ann. Statist. 21, 867-889.
    • (1993) Ann. Statist. , vol.21 , pp. 867-889
    • Hall, P.1    Li, K.C.2
  • 8
    • 0000906634 scopus 로고
    • An asympotic theory for sliced inverse regression
    • Hsing, T. and Carroll, R. J. (1992). An asympotic theory for Sliced Inverse regression. Ann. Statist. 20, 1040-1061.
    • (1992) Ann. Statist. , vol.20 , pp. 1040-1061
    • Hsing, T.1    Carroll, R.J.2
  • 9
    • 0030547310 scopus 로고    scopus 로고
    • An asymptotic result for sliced inverse regression
    • Kötter, T. (1996). An asymptotic result for Sliced Inverse Regression. Comput. Statist. 11, 113-136.
    • (1996) Comput. Statist. , vol.11 , pp. 113-136
    • Kötter, T.1
  • 11
    • 84945116550 scopus 로고
    • Sliced inverse regression for dimension reduction, with discussion
    • Li, K. C. (1991). Sliced inverse regression for dimension reduction, with discussion. J. Amer. Statist. Assoc. 88, 316-342.
    • (1991) J. Amer. Statist. Assoc. , vol.88 , pp. 316-342
    • Li, K.C.1
  • 12
    • 0031221011 scopus 로고    scopus 로고
    • An asymptotic theory for sliced inverse regression
    • Saracco, J. (1997). An asymptotic theory for Sliced Inverse Regression. Comm. Statist. Theory Methods 28, 2141-2171.
    • (1997) Comm. Statist. Theory Methods , vol.28 , pp. 2141-2171
    • Saracco, J.1
  • 13
    • 33749151922 scopus 로고    scopus 로고
    • Pooled slicing methods versus slicing methods
    • Saracco, J. (2001). Pooled Slicing methods versus Slicing methods. Comm. Statist. Simulation Comput. 30, 489-511.
    • (2001) Comm. Statist. Simulation Comput. , vol.30 , pp. 489-511
    • Saracco, J.1
  • 15
    • 21344478847 scopus 로고
    • Determining the dimensionality in sliced inverse regression
    • Schott, J. R. (1994). Determining the dimensionality in Sliced Inverse Regression. J. Amer. Statist. Assoc. 89, 141-148.
    • (1994) J. Amer. Statist. Assoc. , vol.89 , pp. 141-148
    • Schott, J.R.1
  • 16
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    • Asymptotic inference for eigenvectors
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    • (1981) Ann. Statist. , vol.9 , pp. 725-736
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  • 17
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    • Asymptotics of sliced inverse regression
    • Zhu, L. X. and Ng, K. W. (1995). Asymptotics of sliced inverse regression. Statist. Sinica 5, 727-736.
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    • Zhu, L.X.1    Ng, K.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.