Mean squared error properties of the kernel-based multi-stage median predictor for time series
暂无分享,去创建一个
[1] M. Samanta,et al. Non-parametric estimation of conditional quantiles , 1989 .
[2] Jan G. De Gooijer,et al. Kernel-based Multistep-ahead Predictions of the US Short-term Interest Rate , 2000 .
[3] George G. Roussas,et al. Recursive estimation of the transition distribution function of a Markov process: A symptotic normality , 1991 .
[4] George G. Roussas,et al. Moment inequalities for mixing sequences of random variables , 1987 .
[5] A Texas,et al. A NONPARAMETRIC MULTI-STEP PREDICTION ESTIMATOR IN MARKOVIAN STRUCTURES , 1996 .
[6] Tuan Pham,et al. Some mixing properties of time series models , 1985 .
[7] G. Roussas. Nonparametric regression estimation under mixing conditions , 1990 .
[8] M. Rosenblatt. A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION. , 1956, Proceedings of the National Academy of Sciences of the United States of America.
[9] Ricardo Fraiman,et al. Asymptotic distribution of data-driven smoothers in density and regression estimation under dependence† , 1995 .
[10] Alain Berlinet,et al. Asymptotic normality of convergent estimates of conditional quantiles , 2001 .
[11] Jianqing Fan,et al. Local polynomial modelling and its applications , 1994 .
[12] Eric Matzner-Løber,et al. Nonparametric forecasting: a comparison of three kernel-based methods , 1998 .
[13] M. C. Jones,et al. Mean squared error properties of kernel estimates or regression quantiles , 1990 .