Results 21 to 30 of about 15,268,523 (297)
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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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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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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Estimation in monotone single‐index models [PDF]
Statistica Neerlandica, 2018 Single‐index models are popular regression models that are more flexible than linear models and still maintain more structure than purely nonparametric models. We consider the problem of estimating the regression parameters under a monotonicity constraint on the unknown link function.
Piet Groeneboom, Kim Hendrickx
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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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Using single-index ODEs to study dynamic gene regulatory network. [PDF]
PLoS ONE, 2018 With the development of biotechnology, high-throughput studies on protein-protein, protein-gene, and gene-gene interactions become possible and attract remarkable attention.
Qi Zhang, Yao Yu, Jun Zhang, Hua Liang
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