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Adaptive functional linear regression

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  • Comte , Fabienne
  • Johannes, Jan

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  • Comte , Fabienne & Johannes, Jan, 2011. "Adaptive functional linear regression," LIDAM Discussion Papers ISBA 2011038, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvad:2011038
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    File URL: https://cdn.uclouvain.be/public/Exports%20reddot/stat/documents/ISBADP2011-38_Adaptative_functional_linear_regression.pdf
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    References listed on IDEAS

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    1. Preda, C. & Saporta, G., 2005. "PLS regression on a stochastic process," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 149-158, January.
    2. Comte, Fabienne & Johannes, Jan, 2010. "Adaptive estimation in circular functional linear models," LIDAM Reprints ISBA 2010035, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Kneip, Alois & Crambes, Christophe & Cardot, Herve & Sarda, Pascal, 2006. "Smoothing Splines Estimators in Functional Linear Regression with Errors-in-Variables," Bonn Econ Discussion Papers 2/2006, University of Bonn, Bonn Graduate School of Economics (BGSE).
    4. Mario Forni & Lucrezia Reichlin, 1998. "Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 453-473.
    5. Cardot, Hervé & Ferraty, Frédéric & Sarda, Pascal, 1999. "Functional linear model," Statistics & Probability Letters, Elsevier, vol. 45(1), pages 11-22, October.
    6. Preda, C. & Saporta, G., 2005. "Clusterwise PLS regression on a stochastic process," Computational Statistics & Data Analysis, Elsevier, vol. 49(1), pages 99-108, April.
    7. Goldenshluger, Alexander & Tsybakov, Alexandre, 2003. "Optimal prediction for linear regression with infinitely many parameters," Journal of Multivariate Analysis, Elsevier, vol. 84(1), pages 40-60, January.
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