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de Souza, C.P.E., Heckman, N.E. & Xu, F., 2017. Switching nonparametric regression models for multi-curve data. Canadian Journal of Statistics, 45, pp.442–460. Available at: http://dx.doi.org/10.1002/cjs.11331.
Boente, G. & Salibian-Barrera, M., 2015. S-Estimators for Functional Principal Component Analysis. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 110, pp.1100-1111.
Bonner, S.J., Newlands, N.K. & Heckman, N.E., 2014. Modeling regional impacts of climate teleconnections using functional data analysis. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 21, pp.1-26.
Griswold, C.K., Gomulkiewicz, R. & Heckman, N., 2008. Hypothesis testing in comparative and experimental studies of function-valued traits. EVOLUTION, 62, pp.1229-1242.
Hall, P. & Heckman, N.E., 2002. Estimating and depicting the structure of a distribution of random functions. BIOMETRIKA, 89, pp.145-158.