Estimation and Inference for Spatio-Temporal Single-Index Models
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 single-index model and combine it with the co...
Main Authors: | Hongxia Wang, Zihan Zhao, Hongxia Hao, Chao Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/20/4289 |
Similar Items
-
A Hybrid Method for Interpolating Missing Data in Heterogeneous Spatio-Temporal Datasets
by: Min Deng, et al.
Published: (2016-02-01) -
Spatio-Temporal Heterogeneous Ensemble Learning Method for Predicting Land Subsidence
by: Bin Zhao, et al.
Published: (2024-09-01) -
A Two-Step Method for Missing Spatio-Temporal Data Reconstruction
by: Shifen Cheng, et al.
Published: (2017-06-01) -
Building Spatio-Temporal Database Model Based on Ontological Approach using Relational Database Environment
by: NADEEM MAHMOOD, et al.
Published: (2017-10-01) -
A Unified Spatio-Temporal Inference Network for Car-Sharing Serial Prediction
by: Nihad Brahimi, et al.
Published: (2024-02-01)