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Self Modeling with Flexible, Random Time Transformations

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  • Lyndia C. Brumback
  • Mary J. Lindstrom

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  • Lyndia C. Brumback & Mary J. Lindstrom, 2004. "Self Modeling with Flexible, Random Time Transformations," Biometrics, The International Biometric Society, vol. 60(2), pages 461-470, June.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:2:p:461-470
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00191.x
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    References listed on IDEAS

    as
    1. William M. Ladd & Mary J. Lindstrom, 2000. "Self-Modeling for Two-Dimensional Response Curves," Biometrics, The International Biometric Society, vol. 56(1), pages 89-97, March.
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    Cited by:

    1. Jamie L. Bigelow & David B. Dunson, 2007. "Bayesian Adaptive Regression Splines for Hierarchical Data," Biometrics, The International Biometric Society, vol. 63(3), pages 724-732, September.
    2. Simone Vantini, 2012. "On the definition of phase and amplitude variability in functional data analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(4), pages 676-696, December.
    3. Daniel Gervini & Patrick A. Carter, 2014. "Warped functional analysis of variance," Biometrics, The International Biometric Society, vol. 70(3), pages 526-535, September.
    4. Michael R. Wierzbicki & Li-Bing Guo & Qing-Tao Du & Wensheng Guo, 2014. "Sparse Semiparametric Nonlinear Model With Application to Chromatographic Fingerprints," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1339-1349, December.
    5. Donatello Telesca & Lurdes Y.T. Inoue & Mauricio Neira & Ruth Etzioni & Martin Gleave & Colleen Nelson, 2009. "Differential Expression and Network Inferences through Functional Data Modeling," Biometrics, The International Biometric Society, vol. 65(3), pages 793-804, September.
    6. Liu, Xueli & Yang, Mark C.K., 2009. "Simultaneous curve registration and clustering for functional data," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1361-1376, February.
    7. Fu, Eric & Heckman, Nancy, 2019. "Model-based curve registration via stochastic approximation EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 131(C), pages 159-175.

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