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Original Articles

Conditional Density Estimation in the Single Functional Index Model for α-Mixing Functional Data

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Pages 441-454 | Received 08 Nov 2011, Accepted 02 Feb 2012, Published online: 02 Jan 2014

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Xianzhu Xiong, Peiqin Zhou & Chen Ailian. (2018) Asymptotic normality of the local linear estimation of the conditional density for functional time-series data. Communications in Statistics - Theory and Methods 47:14, pages 3418-3440.
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Articles from other publishers (7)

OMAR OMARITORKIA MEROUANBOUBAKER MECHAB. (2023) UNIFORM CONVERGENCE OF NONPARAMETRIC CONDITIONAL HAZARD FUNCTION IN THE SINGLE FUNCTIONAL INDEX MODELING FOR DEPENDENT DATA. Journal of Science and Arts 23:1, pages 91-106.
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Nengxiang Ling, Lilei Cheng, Philippe Vieu & Hui Ding. (2021) Missing responses at random in functional single index model for time series data. Statistical Papers 63:2, pages 665-692.
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Nengxiang Ling & Philippe Vieu. (2020) On semiparametric regression in functional data analysis. WIREs Computational Statistics 13:6.
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Nadia Kadiri, Abbes Rabhi, Salah Khardani & Fatima Akkal. (2021) CLT for single functional index quantile regression under dependence structure. Acta Universitatis Sapientiae, Mathematica 13:1, pages 45-77.
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Diaa Eddine Hamdaoui, Amina Angelika Bouchentouf, Abbes Rabhi & Toufik Guendouzi. (2017) Asymptotic normality of conditional distribution estimation in the single index model. Acta Universitatis Sapientiae, Mathematica 9:1, pages 162-175.
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Xiaoqin Li, Wenzhi Yang & Shuhe Hu. (2016) Uniform convergence of estimator for nonparametric regression with dependent data. Journal of Inequalities and Applications 2016:1.
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Said Attaoui & Nengxiang Ling. (2015) Asymptotic results of a nonparametric conditional cumulative distribution estimator in the single functional index modeling for time series data with applications. Metrika 79:5, pages 485-511.
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