Results 11 to 20 of about 991,751 (258)
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.
europepmc +4 more sources
Variable selection for the single-index model [PDF]
Biometrika, 2007 We consider variable selection in the single-index model. We prove that the popular leave-m-out crossvalidation method has different behaviour in the single-index model from that in linear regression models or nonparametric regression models. A new consistent variable selection method, called separated crossvalidation, is proposed.
Kong, E., Xia, Y.
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Robust Variable Selection for Single-Index Varying-Coefficient Model with Missing Data in Covariates
Mathematics, 2022 As applied sciences grow by leaps and bounds, semiparametric regression analyses have broad applications in various fields, such as engineering, finance, medicine, and public health.
Yunquan Song, Yaqi Liu, Hang Su
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Empirical Likelihood for Partially Linear Single-Index Models under Negatively Associated Errors
Journal of Mathematics, 2021 In this paper, the authors consider the application of the blockwise empirical likelihood method to the partially linear single-index model when the errors are negatively associated, which often exist in sequentially collected economic data.
Xin Qi, ZhuoXi Yu
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Canadian Journal of Remote Sensing, 2023 Timely monitoring of crop production using a remote sensing-based approach offers promise toward enhancing food security. Statistical models developed using satellite data typically employ a single vegetation index from a single sensor for yield ...
Jumi Gogoi +4 more
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A bootstrap test for single index models [PDF]
Statistics, 2001 Single index models are frequently used in econometrics and biometrics. Logit and Probit models arc special cases with fixed link functions. In this paper we consider a bootstrap specification test that detects nonparametric deviations of the link function.
Härdle, Wolfgang +2 more
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Checking Heteroscedasticity in Partially Linear Single-Index Models Using Pairwise Distance
IEEE Access, 2020 In this article, a new test is proposed for partially linear single-index models (PLSIM) based on the pairwise distances of the sample points, to test heteroscedasticity.
Jian-Qiang Zhao +4 more
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Identification of organic compounds using artificial neural networks and refractive index [PDF]
Journal of the Serbian Chemical Society, 2023 Identification of chemical compounds has many applications in science and technology. However, this process still relies significantly on the knowledge and experience of chemists.
Kirigiti Innocent Abel +2 more
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