References
- Antoniadis, A. 1982. Sur certains problèmes d’estimation et de test concernant la moyenne d’un processus gaussien. In Annales de l’IHP Probabilités et statistiques, volume 18, pages 223–36. http://www.numdam.org/item/AIHPB_1982__18_3_223_0/
- Antoniadis, A. 1988. Parametric estimation for the mean of a Gaussian process by the method of sieves. Journal of Multivariate Analysis 26 (1):1–15. doi:10.1016/0047-259X(88)90070-X.
- Benyelles, W., and T. Mourid. 2012. On a minimum distance estimate of the period in functional autoregressive processes. Journal of Applied Statistics 39 (8):1703–18. doi:10.1080/02664763.2012.668178.
- Beran, J., and H. Liu. 2014. On estimation of mean and covariance functions in repeated time series with long-memory errors. Lithuanian Mathematical Journal 54 (1):8–34. doi:10.1007/s10986-014-9224-1.
- Beran, J., and H. Liu. 2016. Estimation of eigenvalues, eigenvectors and scores in FDA models with dependent errors. Journal of Multivariate Analysis 147:218–33. doi:10.1016/j.jmva.2016.02.002.
- Bosq, D. 2000. Linear processes in function spaces: Theory and applications, vol. 149. New York: Springer Science & Business Media. doi:10.1007/978-1-4612-1154-9.
- Cuevas, A. 2014. A partial overview of the theory of statistics with functional data. Journal of Statistical Planning and Inference 147:1–23. doi:10.1016/j.jspi.2013.04.002.
- Ferraty, F., and P. Vieu. 2006. Nonparametric functional data analysis: Theory and practice. New York: Springer Science & Business Media. doi:10.1007/0-387-36620-2.
- Ghosh, S. 2001. Nonparametric trend estimation in replicated time series. Journal of Statistical Planning and Inference 97 (2):263–74. doi:10.1016/S0378-3758(00)00222-6.
- Goia, A., and P. Vieu. 2016. An introduction to recent advances in high/infinite dimensional statistics. Journal of Multivariate Analysis 146:1–6. doi:10.1016/j.jmva.2015.12.001.
- Hart, J. D., and T. E. Wehrly. 1986. Kernel regression estimation using repeated measurements data. Journal of the American Statistical Association 81 (396):1080–8. doi:10.1080/01621459.1986.10478377.
- Horváth, L, and P. Kokoszka. 2012. Inference for functional data with applications, vol. 200. New York: Springer Science & Business Media. doi:10.1007/978-1-4614-3655-3.
- Lin, X., and R. J. Carroll. 2000. Nonparametric function estimation for clustered data when the predictor is measured without/with error. Journal of the American Statistical Association 95 (450):520–34. doi:10.1080/01621459.2000.10474229.
- Ramsay, J. O, and B. W. Silverman. 2002. Applied functional data analysis: Methods and case studies, vol. 77. New York: Spinger-Verlag. doi:10.1007/b98886.
- Yao, F. 2007. Asymptotic distributions of nonparametric regression estimators for longitudinal or functional data. Journal of Multivariate Analysis 98 (1):40–56. doi:10.1016/j.jmva.2006.08.007.
- Yao, F., H.-G. Müller, A. J. Clifford, S. R. Dueker, J. Follett, Y. Lin, B. A. Buchholz, and J. S. Vogel. 2003. Shrinkage estimation for functional principal component scores with application to the population kinetics of plasma folate. Biometrics 59 (3):676–85. doi:10.1111/1541-0420.00078.