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Bayesian Wavelet Regression on Curves With Application to a Spectroscopic Calibration Problem

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  • Brown P.J.
  • Fearn T
  • Vannucci M

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Suggested Citation

  • Brown P.J. & Fearn T & Vannucci M, 2001. "Bayesian Wavelet Regression on Curves With Application to a Spectroscopic Calibration Problem," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 398-408, June.
  • Handle: RePEc:bes:jnlasa:v:96:y:2001:m:june:p:398-408
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    Citations

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    Cited by:

    1. R. G. Aykroyd & K. V. Mardia, 2003. "A wavelet approach to shape analysis for spinal curves," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(6), pages 605-623.
    2. André Mas & Besnik Pumo, 2009. "Functional linear regression with derivatives," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(1), pages 19-40.
    3. Wang, Guochang & Lin, Nan & Zhang, Baoxue, 2012. "Functional linear regression after spline transformation," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 587-601.
    4. Guodong Shan & Yiheng Hou & Baisen Liu, 2020. "Bayesian robust estimation of partially functional linear regression models using heavy-tailed distributions," Computational Statistics, Springer, vol. 35(4), pages 2077-2092, December.
    5. Joyee Ghosh & Andrew E. Ghattas, 2015. "Bayesian Variable Selection Under Collinearity," The American Statistician, Taylor & Francis Journals, vol. 69(3), pages 165-173, August.
    6. Frédéric Ferraty & Philippe Vieu, 2002. "The Functional Nonparametric Model and Application to Spectrometric Data," Computational Statistics, Springer, vol. 17(4), pages 545-564, December.
    7. Chakraborty, Sounak & Ghosh, Malay & Mallick, Bani K., 2012. "Bayesian nonlinear regression for large p small n problems," Journal of Multivariate Analysis, Elsevier, vol. 108(C), pages 28-40.
    8. Luo, Ruiyan & Qi, Xin, 2015. "Sparse wavelet regression with multiple predictive curves," Journal of Multivariate Analysis, Elsevier, vol. 134(C), pages 33-49.
    9. Amato, U. & Antoniadis, A. & De Feis, I., 2006. "Dimension reduction in functional regression with applications," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2422-2446, May.
    10. Codazzi, Laura & Colombi, Alessandro & Gianella, Matteo & Argiento, Raffaele & Paci, Lucia & Pini, Alessia, 2022. "Gaussian graphical modeling for spectrometric data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 174(C).
    11. Chakraborty, Sounak, 2012. "Bayesian multiple response kernel regression model for high dimensional data and its practical applications in near infrared spectroscopy," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2742-2755.

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