Results 11 to 20 of about 1,058,493 (262)
Statistical Inference for High-Dimensional Heteroscedastic Partially Single-Index Models [PDF]
EntropyIn this study, we propose a novel penalized empirical likelihood approach that simultaneously performs parameter estimation and variable selection in heteroscedastic partially linear single-index models with a diverging number of parameters.
Jianglin Fang, Zhikun Tian
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Analysis of Double Single Index Models. [PDF]
Scand Stat Theory Appl, 2017 Abstract Motivated from problems in canonical correlation analysis, reduced rank regression and sufficient dimension reduction, we introduce a double dimension reduction model where a single index of the multivariate response is linked to the multivariate covariate through a single index of these covariates, hence the name double ...
Chen K, Ma Y.
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Monotonic single-index models to assess drug interactions. [PDF]
Stat Med, 2017 Wan Y, Datta S, Lee JJ, Kong M.
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Distributional (Single) Index Models [PDF]
Journal of the American Statistical Association, 2021 A Distributional (Single) Index Model (DIM) is a semi-parametric model for distributional regression, that is, estimation of conditional distributions given covariates. The method is a combination of classical single index models for the estimation of the conditional mean of a response given covariates, and isotonic distributional regression. The model
Henzi, Alexander +2 more
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Estimation and Inference for Spatio-Temporal Single-Index Models
Mathematics, 2023 To better fit the actual data, this paper will consider both spatio-temporal correlation and heterogeneity to build the model. In order to overcome the “curse of dimensionality” problem in the nonparametric method, we improve the estimation method of the
Hongxia Wang +3 more
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Mathematics, 2022 The single-index model is an intuitive extension of the linear regression model. It has been increasingly popular due to its flexibility in modeling. In this work, we focus on the estimators of the parameters and the unknown link function for the single ...
Yunquan Song, Zitong Li, Minglu Fang
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Semiparametric Integrated and Additive Spatio-Temporal Single-Index Models
Mathematics, 2023 In this paper, we introduce two semiparametric single-index models for spatially and temporally correlated data. Our first model has spatially and temporally correlated random effects that are additive to the nonparametric function, which we refer to as ...
Hamdy F. F. Mahmoud, Inyoung Kim
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Partially Linear Generalized Single Index Models for Functional Data (PLGSIMF)
Stats, 2021 Single-index models are potentially important tools for multivariate non-parametric regression analysis. They generalize linear regression models by replacing the linear combination α0⊤X with a non-parametric component η0α0⊤X, where η0(·) is an unknown ...
Mohamed Alahiane +3 more
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Application of Contourlet Transform in Damage Localization and Severity Assessment of Prestressed Concrete Slabs [PDF]
Journal of Soft Computing in Civil Engineering, 2021 In this paper, the location and severity of damages in prestressed concrete slabs are assessed using the contourlet transform as a novel signal processing method.
Hashem Jahangir +2 more
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SiAM: A Hybrid of Single Index Models and Additive Models. [PDF]
Electron J Stat, 2017 While popular, single index models and additive models have potential limitations, a fact that leads us to propose SiAM, a novel hybrid combination of these two models. We first address model identifiability under general assumptions. The result is of independent interest.
Ma S, Lian H, Liang H, Carroll RJ.
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