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Functional coefficient regression models for nonlinear time series: A polynomial spline approach

机译：非线性时间序列的函数系数回归模型：多项式样条方法

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Jianhua Z. Huang; Haipeng Shen;
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年度 2004
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1. Jump detection in time series nonparametric regression models: a polynomial spline approach [J] . Yujiao Yang, Qiongxia Song Annals of the Institute of Statistical Mathematics . 2014,第2期

机译：时间序列非参数回归模型中的跳跃检测：多项式样条方法
2. Polynomial spline approach for variable selection and estimation in varying coefficient models for time series data [J] . Lai Peng, Meng Jie, Lian Heng Statistics & Probability Letters . 2015,第Null期

机译：用于时间序列数据的可变系数模型中变量选择和估计的多项式样条方法
3. Spline estimation of functional coefficient regression models for time series with correlated errors [J] . Michel H. Montoril, Pedro A. Morettin, Chang Chiann Statistics & Probability Letters . 2014,第Null期

机译：具有相关误差的时间序列的功能系数回归模型的样条估计
4. Nonlinear interval regression analysis based on spline fuzzy model with interval coefficients [C] . Lili Cai, Degang Wang, Wenyan Song, International Conference on Intelligent Control and Information Processing . 2016

机译：基于区间系数样条模糊模型的非线性区间回归分析
5. Polynomial spline smoothing for nonlinear time series. [D] . Wang, Li. 2007

机译：非线性时间序列的多项式样条平滑。
6. Penalized spline estimation for functional coefficient regression models [O] . Yanrong Cao, Haiqun Lin, Tracy Z. Wu, -1

机译：用于功能性系数回归模型惩罚花键估计
7. Functional Coefficient Regression Models for Non-linear Time Series: A Polynomial Spline Approach [O] . Jianhua Z. Huang, Haipeng Shen 100

机译：非线性时间序列的功能系数回归模型：多项式样条法

Functional coefficient regression models for nonlinear time series: A polynomial spline approach

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