On a Semiparametric Data‐Driven Nonlinear Model with Penalized Spatio‐Temporal Lag Interactions-Reference-Cited by-同舟云学术

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On a Semiparametric Data‐Driven Nonlinear Model with Penalized Spatio‐Temporal Lag Interactions

Published:2018-12-18 Issue:3 Volume:40 Page:327-342
ISSN:0143-9782
Container-title:Journal of Time Series Analysis
language:en
Short-container-title:J. Time Ser. Anal.

Author:

Al‐Sulami Dawlah¹,Jiang Zhenyu²,Lu Zudi³,Zhu Jun⁴

Affiliation:

1. Department of StatisticsKing Abdulaziz University Jeddah Saudi Arabia

2. Statistical Sciences Research InstituteUniversity of Southampton Southampton UK

3. Statistical Sciences Research Institute and School of Mathematical SciencesUniversity of Southampton Southampton UK

4. Department of Statistics and Department of EntomologyUniversity of Wisconsin‐Madison Madison WI USA

Funder

EU Marie Curie Career Integration Grant

Publisher

Wiley

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jtsa.12442

Reference48 articles.

1. Two-Step Lasso Estimation of the Spatial Weights Matrix

2. Estimation for semiparametric nonlinear regression of irregularly located spatial time-series data

3. Spatial Econometrics: Methods and Models

4. Structural interactions in spatial panels

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1. Adaptive LASSO estimation for functional hidden dynamic geostatistical models;Stochastic Environmental Research and Risk Assessment;2023-05-17

2. Unified Principal Component Analysis for Sparse and Dense Functional Data under Spatial Dependency;Journal of Business & Economic Statistics;2021-07-12

3. Semiparametric method and theory for continuously indexed spatio-temporal processes;Journal of Multivariate Analysis;2021-05

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