|
[1] P. K. Bhattacharya and A. Gangopadhyay, Kernel and nearest neighbor estimation of conditional quantile, Ann. Statist. 18 (1990), 1400-1415.
[2] D. Bosq, Linear processes in function spaces, Lecture Notes in Statistics 129, Springer-Verlag, New York, 2000.
[3] B. Cadre, Convergent estimators for the -median of a Banach valued random variable, Statistics 35 (2001), 509-521.
[4] P. Chaudhuri, Nonparametric estimates of regression quantiles and their local Bahadur representation, Ann. Statist. 19 (1991a), 760-777.
[5] P. Chaudhuri, Global nonparametric estimation of conditional quantile functions and their derivatives, J. Multivariate Anal. 39 (1991b), 246-269.
[6] P. Chaudhuri, K. Doksum and A. Samarov, On average derivative quantile regression, Ann. Statist. 25 (1997), 715-744.
[7] M. Ezzahrioui and E. Ould-Saïd, Asymptotic normality of nonparametric estimators of the conditional mode function for functional data, Nonparametric Statist. J. (2007), accepted.
[8] J. Fan, T. C. Hu and Y. K. Truong, Robust nonparametric function estimation, Scand. J. Statist. 21 (1994), 433-446.
[9] F. Ferraty, A. Laksaci and P. Vieu, Estimating some characteristics of the conditional distribution in nonparametric functional models, Statist. Inf. Stoch. Processes 9 (2006), 47-76.
[10] F. Ferraty, A. Mas and P. Vieu, Nonparametric regression on functional data: inference and practical aspects (2007), in revision.
[11] F. Ferraty and P. Vieu, The functional nonparametric model and application to spectrometric data, Comput. Statist. Data Anal. 17 (2002), 545-564.
[12] F. Ferraty and P. Vieu, Curves discrimination: a nonparametric functional approach, Comput. Statist. Data Anal. 44 (2003), 161-173.
[13] F. Ferraty and P. Vieu, Nonparametric models for functional data, with application in regression, time-series prediction and curve discrimination, J. Nonparametric Statist. 16 (2004), 111-125.
[14] F. Ferraty and P. Vieu, Nonparametric Functional Data Analysis: Theory and Practice, Springer-Verlag, New York, 2006.
[15] T. Gasser, P. Hall and B. Presnell, Nonparametric estimation of the mode of a distribution of random curves, J. Roy. Statist. Soc.: Ser. B (Statist. Methodol.) 60(4) (1998), 681-691.
[16] M. C. Jones and P. Hall, Mean squared error properties of kernel estimates of regression quantiles, Statist. Probab. Lett. 10 (1990), 283-289.
[17] E. Masry, Nonparametric regression estimation for dependent functional data: asymptotic normality, Stochastic Process. Appl. 115 (2005), 155-177.
[18] K. L. Mehra, M. S. Rao and S. P. Upadrasta, A smooth conditional quantile estimator and related applications of conditional empirical processes, J. Multivariate Anal. 37 (1991), 151-179.
[19] J. Ramsay and B. Silverman, Applied Functional Data Analysis: Methods and Case Studies, Springer, New York, 2002.
[20] J. Ramsay and B. Silverman, Functional Data Analysis, 2nd ed., Springer, New York, 2005.
[21] M. Samanta, Non-parametric estimation of conditional quantiles, Statist. Probab. Lett. 7 (1989), 407-412.
[22] A. H. Welsh, Robust estimation of smooth regression and spread functions and their derivatives, Statist. Sinica 6 (1996), 347-366. |