Varying coefficient partially functional linear regression models

By relaxing the linearity assumption in partial functional linear regression models, we propose a varying coefficient partially functional linear regression model (VCPFLM), which includes varying coefficient regression models and functional linear regression models as its special cases. We study the...

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Vydané v:	Statistical papers (Berlin, Germany) Ročník 57; číslo 3; s. 827 - 841
Hlavní autori:	Peng, Qing-Yan, Zhou, Jian-Jun, Tang, Nian-Sheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2016 Springer Nature B.V
Predmet:	Approximation Coefficients Convergence Economic Theory/Quantitative Economics/Mathematical Methods Economics Finance Insurance Management Mathematical functions Mathematical models Mathematics and Statistics Operations Research/Decision Theory Parameter estimation Parameters Polynomials Probability Theory and Stochastic Processes Random variables Regression Regression analysis Regular Article Splines Statistical methods Statistics Statistics for Business Studies Global convergence rate Functional linear models Uniform convergence rate Polynomial spline Varying coefficient model
ISSN:	0932-5026, 1613-9798
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