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Volumn 18, Issue 4, 2008, Pages 1449-1464

Penalized PARAFAC analysis of spontaneous EEG recordings

Author keywords

Dimensionality reduction; EEG; PARAFAC; Penalized regression

Indexed keywords


EID: 60149110922     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (19)

References (29)
  • 1
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H. (1974). A new look at the statistical model identification. IEEE Trans. Automat. Control 19, 716-723.
    • (1974) IEEE Trans. Automat. Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 3
    • 84972348998 scopus 로고    scopus 로고
    • Ansley, C. F. and Kohn, R. (1994). Convergence of the backfitting algorithm for additive models. J. Austral. Math. Soc. Ser. A 57, 316-329.
    • Ansley, C. F. and Kohn, R. (1994). Convergence of the backfitting algorithm for additive models. J. Austral. Math. Soc. Ser. A 57, 316-329.
  • 4
    • 14244251502 scopus 로고    scopus 로고
    • Tensorial extensions of independent component analysis for multisubject FMRI analysis
    • Beckmann, C. F. and Smith, S. M. (2005). Tensorial extensions of independent component analysis for multisubject FMRI analysis. NeuroImage 25, 294-311.
    • (2005) NeuroImage , vol.25 , pp. 294-311
    • Beckmann, C.F.1    Smith, S.M.2
  • 6
    • 34250252877 scopus 로고
    • Candelinc: A general approach to multidimensional analysis of many-ways arrays with linear constraints on parameters
    • Carroll, J. D., Pruzansky, S. and Kruskal, J. B. (1980). Candelinc: A general approach to multidimensional analysis of many-ways arrays with linear constraints on parameters. Psychometrika 45, 3-24.
    • (1980) Psychometrika , vol.45 , pp. 3-24
    • Carroll, J.D.1    Pruzansky, S.2    Kruskal, J.B.3
  • 7
    • 0009935552 scopus 로고    scopus 로고
    • Comments on 'Wavelet in Statistics: A Review.' by Antoniadis
    • Fan, J. (1997). Comments on 'Wavelet in Statistics: A Review.' by Antoniadis. J. Italian Statist. Assoc. 6, 131-138.
    • (1997) J. Italian Statist. Assoc , vol.6 , pp. 131-138
    • Fan, J.1
  • 8
    • 1542784498 scopus 로고    scopus 로고
    • Variable selection via nonconcave penalized likelihood and its oracle properties
    • Fan, J. Q. and Li, R. Z. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. J. Amer. Statist. Assoc. 96, 456, 1348-1360.
    • (2001) J. Amer. Statist. Assoc , vol.96 , Issue.456 , pp. 1348-1360
    • Fan, J.Q.1    Li, R.Z.2
  • 9
    • 32044449925 scopus 로고
    • Generalized cross-validation as a method for choosing a good ridge parameter
    • Golub, G., Heath, M. and Wahba, G. (1979). Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics 21, 215-223.
    • (1979) Technometrics , vol.21 , pp. 215-223
    • Golub, G.1    Heath, M.2    Wahba, G.3
  • 10
    • 0002740437 scopus 로고
    • Foundations of the PARAFAC procedure: Models and conditions for an 'explanatory' multi-modal factor analysis
    • Harshman, R. A. (1970). Foundations of the PARAFAC procedure: models and conditions for an 'explanatory' multi-modal factor analysis. UCLA Work. Pap. Phon. 16, 1-84.
    • (1970) UCLA Work. Pap. Phon , vol.16 , pp. 1-84
    • Harshman, R.A.1
  • 12
    • 0033906922 scopus 로고    scopus 로고
    • Ridge Regression: Biased estimation for nonorthogonal problems
    • Hoerl, A. E. and Kennard, R. W. (2000). Ridge Regression: biased estimation for nonorthogonal problems. Technometrics 42, 80-86.
    • (2000) Technometrics , vol.42 , pp. 80-86
    • Hoerl, A.E.1    Kennard, R.W.2
  • 13
    • 26444617168 scopus 로고    scopus 로고
    • Variable selection using MM algorithms
    • Hunter, D. R. and Li, R. (2005). Variable selection using MM algorithms. Ann. Statist. 33, 1617-1642.
    • (2005) Ann. Statist , vol.33 , pp. 1617-1642
    • Hunter, D.R.1    Li, R.2
  • 14
    • 48749101457 scopus 로고
    • Three-way arrays: Rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
    • Kruskal, J. B. (1977). Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics. Linear Algebra Appl. 18, 95-138.
    • (1977) Linear Algebra Appl , vol.18 , pp. 95-138
    • Kruskal, J.B.1
  • 15
    • 12844276457 scopus 로고    scopus 로고
    • Variable fusion: A new method of adaptive signal regression
    • Technical Report. Department of Statistics, Stanford University, Stanford
    • Land, S. and Friedman, J. (1996). Variable fusion: a new method of adaptive signal regression. Technical Report. Department of Statistics, Stanford University, Stanford.
    • (1996)
    • Land, S.1    Friedman, J.2
  • 19
    • 31044456392 scopus 로고    scopus 로고
    • Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG
    • Morup, M., Hansen, L. K., Herrmann, C. S., Parnas, J. and Arnfred, S. M. (2006). Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG. Neuroimage 29, 938-947.
    • (2006) Neuroimage , vol.29 , pp. 938-947
    • Morup, M.1    Hansen, L.K.2    Herrmann, C.S.3    Parnas, J.4    Arnfred, S.M.5
  • 21
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwartz, G. (1978). Estimating the dimension of a model. Ann. Statist. 6, 461-464.
    • (1978) Ann. Statist , vol.6 , pp. 461-464
    • Schwartz, G.1
  • 22
    • 0033653594 scopus 로고    scopus 로고
    • On the uniqueness of multilinear decomposition of N-way arrays
    • Sidiropoulos, N. D. and Bro, R. (2000). On the uniqueness of multilinear decomposition of N-way arrays. J. Chemometr. 14, 229-239.
    • (2000) J. Chemometr , vol.14 , pp. 229-239
    • Sidiropoulos, N.D.1    Bro, R.2
  • 23
    • 33750991900 scopus 로고    scopus 로고
    • On Kruskal's uniqueness condition for the Candecomp/Parafac decomposition
    • Stegeman, A. and Sidiropoulos, N. D. (2007). On Kruskal's uniqueness condition for the Candecomp/Parafac decomposition. Linear Algebra Appl. 420, 540-552.
    • (2007) Linear Algebra Appl , vol.420 , pp. 540-552
    • Stegeman, A.1    Sidiropoulos, N.D.2
  • 24
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and variable selection via the lasso
    • Tibshirani, R. (1996). Regression shrinkage and variable selection via the lasso. J. Roy. Statist. Soc. Ser. B 58, 267-288.
    • (1996) J. Roy. Statist. Soc. Ser. B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 26
    • 0037190425 scopus 로고    scopus 로고
    • Three-way component analysis with smoothness constraints
    • Timmerman, M. E. and Kiers, H. A. L. (2002). Three-way component analysis with smoothness constraints. Comput. Statist. Data Anal. 40, 447-470.
    • (2002) Comput. Statist. Data Anal , vol.40 , pp. 447-470
    • Timmerman, M.E.1    Kiers, H.A.L.2
  • 27
    • 30144444694 scopus 로고    scopus 로고
    • A comparison of algorithms for fitting the PARAFAC model
    • Tomasi, G. and Bro, R. (2006). A comparison of algorithms for fitting the PARAFAC model. Comput. Statist. Data Anal. 50, 1700-1734.
    • (2006) Comput. Statist. Data Anal , vol.50 , pp. 1700-1734
    • Tomasi, G.1    Bro, R.2
  • 29
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • Zou, H. and Hastie, T. (2005). Regularization and variable selection via the elastic net. J. Roy. Statist. Soc. Ser. B 67, 301-320.
    • (2005) J. Roy. Statist. Soc. Ser. B , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.