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Volumn , Issue 1, 2014, Pages 1891-1904

Analysis of aneurisk65 data: K-mean alignment

Author keywords

AneuRisk65 data; Functional clustering; K mean alignment; Registration

Indexed keywords


EID: 84908673456     PISSN: 19357524     EISSN: None     Source Type: Journal    
DOI: 10.1214/14-EJS938A     Document Type: Article
Times cited : (14)

References (16)
  • 1
    • 84908695371 scopus 로고    scopus 로고
    • Analysis of proteomics data: Block k-mean alignment
    • Special Section on Statistics of Time Warpings and Phase Variations
    • Bernardi, M., Sangalli, L. M., Secchi, P. and Vantini, S. (2014a). Analysis of proteomics data: Block k-mean alignment. Electronic Journal of Statistics 8 1714–1723, Special Section on Statistics of Time Warpings and Phase Variations.
    • (2014) Electronic Journal of Statistics , vol.8 , pp. 1714-1723
    • Bernardi, M.1    Sangalli, L.M.2    Secchi, P.3    Vantini, S.4
  • 2
    • 84908668035 scopus 로고    scopus 로고
    • Analysis of juggling data: An application of k-mean alignment
    • Special Section on Statistics of Time Warpings and Phase Variations
    • Bernardi, M., Sangalli, L. M., Secchi, P. and Vantini, S. (2014b). Analysis of juggling data: An application of k-mean alignment. Electronic Journal of Statistics 8 1817–1824, Special Section on Statistics of Time Warpings and Phase Variations.
    • (2014) Electronic Journal of Statistics , vol.8 , pp. 1817-1824
    • Bernardi, M.1    Sangalli, L.M.2    Secchi, P.3    Vantini, S.4
  • 4
    • 0001881719 scopus 로고
    • Convergence and consistency results for self-modeling nonlinear regression
    • MR0924858
    • Kneip, A. and Gasser, T. (1988). Convergence and consistency results for self-modeling nonlinear regression. The Annals of Statistics 16 82–112. MR0924858
    • (1988) The Annals of Statistics , vol.16 , pp. 82-112
    • Kneip, A.1    Gasser, T.2
  • 9
    • 84908665945 scopus 로고    scopus 로고
    • Analysis of spike train data: An application of k-mean alignment
    • Special Section on Statistics of Time Warpings and Phase Variations
    • Patriarca, M., Sangalli, L. M., Secchi, P. and Vantini, S. (2014). Analysis of spike train data: An application of k-mean alignment. Electronic Journal of Statistics 8 1769–1775, Special Section on Statistics of Time Warpings and Phase Variations.
    • (2014) Electronic Journal of Statistics , vol.8 , pp. 1769-1775
    • Patriarca, M.1    Sangalli, L.M.2    Secchi, P.3    Vantini, S.4
  • 10
    • 0004130505 scopus 로고    scopus 로고
    • second ed. Springer Series in Statistics. Springer, New York, MR2168993 MR2168993
    • Ramsay, J. O. and Silverman, B. W. (2005). Functional data analysis, second ed. Springer Series in Statistics. Springer, New York. MR2168993 MR2168993
    • (2005) Functional data analysis
    • Ramsay, J.O.1    Silverman, B.W.2
  • 11
    • 84908661403 scopus 로고    scopus 로고
    • AneuRisk65: A dataset of three-dimensional cerebral vascular geometries
    • Special Section on Statistics of Time Warpings and Phase Variations
    • Sangalli, L. M., Secchi, P. and Vantini, S. (2013). AneuRisk65: A dataset of three-dimensional cerebral vascular geometries. Electronic Journal of Statistics 8 1879–1890, Special Section on Statistics of Time Warpings and Phase Variations.
    • (2013) Electronic Journal of Statistics , vol.8 , pp. 1879-1890
    • Sangalli, L.M.1    Secchi, P.2    Vantini, S.3
  • 12
    • 70350342892 scopus 로고    scopus 로고
    • A case study in exploratory functional data analysis: Geometrical Features of the Internal Carotid Artery
    • MR2663032
    • Sangalli, L. M., Secchi, P., Vantini, S. and Veneziani, A. (2009). A case study in exploratory functional data analysis: Geometrical Features of the Internal Carotid Artery. J. Amer. Statist. Assoc. 104 37–48. MR2663032
    • (2009) J. Amer. Statist. Assoc , vol.104 , pp. 37-48
    • Sangalli, L.M.1    Secchi, P.2    Vantini, S.3    Veneziani, A.4
  • 15
    • 84867582275 scopus 로고    scopus 로고
    • On the definition of phase and amplitude variability in functional data analysis
    • MR2992088
    • Vantini, S. (2012). On the definition of phase and amplitude variability in functional data analysis. TEST 21 676–696. MR2992088
    • (2012) TEST , vol.21 , pp. 676-696
    • Vantini, S.1
  • 16
    • 84908671871 scopus 로고    scopus 로고
    • Analysis of spike train data: Alignment and comparisons using extended Fisher-Rao metric
    • Special Section on Statistics of Time Warpings and Phase Variations
    • Wu, W. and Srivastava, A. (2014). Analysis of spike train data: Alignment and comparisons using extended Fisher-Rao metric. Electronic Journal of Statistics 8 1776–1785, Special Section on Statistics of Time Warpings and Phase Variations.
    • (2014) Electronic Journal of Statistics , vol.8 , pp. 1776-1785
    • Wu, W.1    Srivastava, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.