Results 21 to 30 of about 993,390 (258)
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
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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.
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source