Estimation of partially linear single-index spatial autoregressive model using B-splines

Possible dependence across spatial units is a relevant issue in many areas in practice. In this paper, we consider the partially linear single-index spatial autoregressive model to analyze the dependence of the spatial units and suggest an estimation method. An algorithm procedure is proposed to est...

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Main Authors: Lei Liu, Jun Dai
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:Electronic Research Archive
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Online Access:https://www.aimspress.com/article/doi/10.3934/era.2024319
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author Lei Liu
Jun Dai
author_facet Lei Liu
Jun Dai
author_sort Lei Liu
collection DOAJ
description Possible dependence across spatial units is a relevant issue in many areas in practice. In this paper, we consider the partially linear single-index spatial autoregressive model to analyze the dependence of the spatial units and suggest an estimation method. An algorithm procedure is proposed to estimate the link function for the single index and the parameters in the single index, as well as the parameters in the linear component and the spatial parameter of the model. The nonparametric function is estimated based on B-spline approximation. The Nelder-Mead iteration algorithm is adopted to calculate the parametric and nonparametric parts simultaneously in the optimization. The asymptotic properties of parameter and function estimates are established. Monte Carlo simulation studies are conducted to investigate the performance of the proposed estimation methodology and calculation procedure. Furthermore, we use the proposed method to analyze air quality data and rural household income data in China.
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institution Kabale University
issn 2688-1594
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publishDate 2024-12-01
publisher AIMS Press
record_format Article
series Electronic Research Archive
spelling doaj-art-79a7e731c9284b228effe4df7e4f26402025-01-23T07:53:06ZengAIMS PressElectronic Research Archive2688-15942024-12-0132126822684610.3934/era.2024319Estimation of partially linear single-index spatial autoregressive model using B-splinesLei Liu0Jun Dai1Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University, Kunming 650091, ChinaSchool of Mathematics, Statistics and Mechanics, Beijing University of Technology, Beijing 100124, ChinaPossible dependence across spatial units is a relevant issue in many areas in practice. In this paper, we consider the partially linear single-index spatial autoregressive model to analyze the dependence of the spatial units and suggest an estimation method. An algorithm procedure is proposed to estimate the link function for the single index and the parameters in the single index, as well as the parameters in the linear component and the spatial parameter of the model. The nonparametric function is estimated based on B-spline approximation. The Nelder-Mead iteration algorithm is adopted to calculate the parametric and nonparametric parts simultaneously in the optimization. The asymptotic properties of parameter and function estimates are established. Monte Carlo simulation studies are conducted to investigate the performance of the proposed estimation methodology and calculation procedure. Furthermore, we use the proposed method to analyze air quality data and rural household income data in China.https://www.aimspress.com/article/doi/10.3934/era.2024319spatial autoregressive modelpartially linear single-indexb-splines
spellingShingle Lei Liu
Jun Dai
Estimation of partially linear single-index spatial autoregressive model using B-splines
Electronic Research Archive
spatial autoregressive model
partially linear single-index
b-splines
title Estimation of partially linear single-index spatial autoregressive model using B-splines
title_full Estimation of partially linear single-index spatial autoregressive model using B-splines
title_fullStr Estimation of partially linear single-index spatial autoregressive model using B-splines
title_full_unstemmed Estimation of partially linear single-index spatial autoregressive model using B-splines
title_short Estimation of partially linear single-index spatial autoregressive model using B-splines
title_sort estimation of partially linear single index spatial autoregressive model using b splines
topic spatial autoregressive model
partially linear single-index
b-splines
url https://www.aimspress.com/article/doi/10.3934/era.2024319
work_keys_str_mv AT leiliu estimationofpartiallylinearsingleindexspatialautoregressivemodelusingbsplines
AT jundai estimationofpartiallylinearsingleindexspatialautoregressivemodelusingbsplines