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  • Search: subject:"partially linear structure"
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Year of publication
Subject
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Autoregressive time series 1 Model structure identification 1 NP-dimensionality 1 Partially linear structure 1 Polynomial splines 1 Quasi-likelihood 1 nonparametric model 1 nonstationary process 1 partially linear structure 1 semiparametric method 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Language
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Undetermined 2
Author
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Du, Pang 1 Gao, Jiti 1 Li, YuanZhang 1 Lian, Heng 1 Liang, Hua 1 Saart, Patrick 1
Institution
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Department of Econometrics and Business Statistics, Monash Business School 1
Published in...
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Computational Statistics & Data Analysis 1 Monash Econometrics and Business Statistics Working Papers 1
Source
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RePEc 2
Showing 1 - 2 of 2
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Semiparametric Methods in Nonlinear Time Series Analysis: A Selective Review
Saart, Patrick; Gao, Jiti - Department of Econometrics and Business Statistics, … - 2012
Time series analysis is a tremendous research area in statistics and econometrics. As remarked in a review by Howell Tong in 2001, for about 100 years up to 2001 Biometrika (alone) published over 400 papers on the subject. [Tong (2001)] Furthermore, in the review, Howell Tong is able break down...
Persistent link: https://www.econbiz.de/10010860400
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Cover Image
Partially linear structure identification in generalized additive models with NP-dimensionality
Lian, Heng; Du, Pang; Li, YuanZhang; Liang, Hua - In: Computational Statistics & Data Analysis 80 (2014) C, pp. 197-208
Separation of the linear and nonlinear components in additive models based on penalized likelihood has received attention recently. However, it remains unknown whether consistent separation is possible in generalized additive models, and how high dimensionality is allowed. In this article, we...
Persistent link: https://www.econbiz.de/10010906921
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