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A Functional Single Index Model
Statistica Sinica, 2020Summary: We propose a semiparametric functional single-index model for studying the relationship between a univariate response and multiple functional covariates. The parametric part of the model integrates a functional linear regression model and a sufficient dimension-reduction structure.
Jiang, Fei +3 more
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Varying-coefficient single-index model
Computational Statistics & Data Analysis, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Heung Wong, Wai-Cheung Ip, Riquan Zhang
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2004
A single index model (SIM) summarizes the effects of the explanatory variables X1, ..., Xd within a single variable called the index. As stated at the beginning of Part II, the SIM is one possibility for generalizing the GLM or for restricting the multidimensional regression E(Y|X) to overcome the curse of dimensionality and the lack of ...
Wolfgang Härdle +3 more
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A single index model (SIM) summarizes the effects of the explanatory variables X1, ..., Xd within a single variable called the index. As stated at the beginning of Part II, the SIM is one possibility for generalizing the GLM or for restricting the multidimensional regression E(Y|X) to overcome the curse of dimensionality and the lack of ...
Wolfgang Härdle +3 more
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Biometrika, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Naik, Prasad A., Tsai, Chih-Ling
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Naik, Prasad A., Tsai, Chih-Ling
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On bootstrap consistency of MAVE for single index models
Computational Statistics & Data Analysis, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hong-Fan Zhang +2 more
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1998
One of the most important tasks of applied econometrics and statistics is estimating a conditional mean function. For example, one may want to estimate the mean annual earnings of workers in a certain population as a function of observable characteristics such as level of education and experience in the workforce.
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One of the most important tasks of applied econometrics and statistics is estimating a conditional mean function. For example, one may want to estimate the mean annual earnings of workers in a certain population as a function of observable characteristics such as level of education and experience in the workforce.
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IEEE Transactions on Knowledge and Data Engineering, 2021
Agus Sudjianto +2 more
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Agus Sudjianto +2 more
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Nonlinear regression models with single‐index heteroscedasticity
Statistica Neerlandica, 2019We consider nonlinear heteroscedastic single‐index models where the mean function is a parametric nonlinear model and the variance function depends on a single‐index structure. We develop an efficient estimation method for the parameters in the mean function by using the weighted least squares estimation, and we propose a “delete‐one‐component ...
Jun Zhang +3 more
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Estimation for the single-index models with random effects
Computational Statistics & Data Analysis, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pang, Zhen., Xue, Liugen.
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Latent single-index models for ordinal data
Statistics and Computing, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhiyong Chen, Hai-Bin Wang
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