Results 21 to 30 of about 16,585,517 (291)

Estimation and Inference for Spatio-Temporal Single-Index Models

open access: yesMathematics, 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

Robust Variable Selection Based on Penalized Composite Quantile Regression for High-Dimensional Single-Index Models

open access: yesMathematics, 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
doaj   +1 more source

Semiparametric Integrated and Additive Spatio-Temporal Single-Index Models

open access: yesMathematics, 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

Application of Contourlet Transform in Damage Localization and Severity Assessment of Prestressed Concrete Slabs [PDF]

open access: yesJournal 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

Empirical Likelihood for Partially Linear Single-Index Models under Negatively Associated Errors

open access: yesJournal 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

Robust Variable Selection for Single-Index Varying-Coefficient Model with Missing Data in Covariates

open access: yesMathematics, 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

Assessing the Performance of Satellite-Based Models for Crop Yield Estimation in the Canadian Prairies

open access: yesCanadian 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

open access: yesIEEE 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

A bootstrap test for single index models [PDF]

open access: yesStatistics, 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
openaire   +6 more sources

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