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BAGIDIS: Statistically investigating curves with sharp local patterns using a new functional measure of dissimilarity

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  • Timmermans, Catherine
  • von Sachs, Rainer

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  • Timmermans, Catherine & von Sachs, Rainer, 2013. "BAGIDIS: Statistically investigating curves with sharp local patterns using a new functional measure of dissimilarity," LIDAM Discussion Papers ISBA 2013031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvad:2013031
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    References listed on IDEAS

    as
    1. Timmermans, Catherine & Delsol, Laurent & von Sachs, Rainer, 2013. "Using Bagidis in nonparametric functional data analysis: Predicting from curves with sharp local features," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 421-444.
    2. Francis Cailliez, 1983. "The analytical solution of the additive constant problem," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 305-308, June.
    3. Maarten Jansen & Guy P. Nason & B. W. Silverman, 2009. "Multiscale methods for data on graphs and irregular multidimensional situations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(1), pages 97-125, January.
    4. Timmermans, Catherine & Delsol, Laurent & von Sachs, Rainer, 2013. "Using Bagidis in nonparametric functional data analysis: Predicting from curves with sharp local features," LIDAM Reprints ISBA 2013006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Timmermans, Catherine & de Tullio, Pascal & Lambert, Vincent & Frederich, Michel & Rousseau, Rejane & von Sachs, Rainer, 2012. "Advantages of the Bagidis methodology for metabonomics analyses: application to a spectroscopic study of Age-related Macular Degeneration," LIDAM Discussion Papers ISBA 2012004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Timmermans, Catherine & Fryzlewicz, Piotr, 2012. "Shah: Shape-Adaptive Haar Wavelet Transform For Images With Application To Classification," LIDAM Discussion Papers ISBA 2012015, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. Giorgino, Toni, 2009. "Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i07).
    8. V. Delouille & J. Simoens & R. von Sachs, 2004. "Smooth Design-Adapted Wavelets for Nonparametric Stochastic Regression," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 643-658, January.
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