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A partitioned Single Functional Index Model
Computational Statistics, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GOIA, Aldo, Vieu, Philippe
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Single-Index Model, Multiple-Index Model, and Portfolio Selection
2020Cheng Few Lee
exaly +2 more sources
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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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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Identifiability of single-index models and additive-index models
Biometrika, 2007SUMMARY We provide a proof for the identifiability for both single-index models and partially linear single index models assuming only the continuity of the regression function, a condition much weaker than the differentiability conditions assumed in the existing literature.
Wei Lin, K. B. Kulasekera
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Single-index relative error regression models
Communications in Statistics - Simulation and Computation, 2021We consider the estimation and hypothesis test for single-index model by proposing a profile mean squares relative error estimation method, coupling with a leave-one-component-out method.
Yujie Gai, Jun Zhang 0027
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Estimation of a Functional Single Index Model
2011Single index models have been mostly studied as an alternative dimension reduction technique for nonparametric regression with multivariate covariates. The index parameter appearing in the model summarizes the effect of the covariates in a finite dimensional vector.
Ferraty, Frédéric +2 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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