B-Spline Method for Spatio-Temporal Inverse Model  

作　　者：WANG Hongxia ZHAO Zihan WU Yuehua LUO Xuehong 

机构地区：[1]School of Statistics and Data Science,Nanjing Audit University,Nanjing 211815,China [2]Department of Mathematics and Statistics,York University,Toronto,Ontario,Canada [3]Department of Statistics and Data Science,School of Economics,Xiamen University,Xiamen 361005,China

出　　处：《Journal of Systems Science & Complexity》2022年第6期2336-2360,共25页系统科学与复杂性学报（英文版）

基　　金：the National Social Science Fund of China under Grant No.22BTJ021;“Qinglan project”of Colleges and Universities of Jiangsu Province and Postgraduate Research&Practice Innovation Program of Jiangsu Province under Grant No.KYCX211941。

摘　　要：Inverse models can be used to estimate surface fluxes in terms of the observed atmospheric concentration measurement data.This paper proposes a new nonparametric spatio-temporal inverse model and provides the global expressions for the estimates by employing the B-spline method.The authors establish the asymptotic normality of the estimators under mild conditions.The authors also conduct numerical studies to evaluate the finite sample performance of the proposed methodologies.Finally,the authors apply the method to anthropogenic carbon dioxide(CO_(2))emission data from different provinces of Canada to illustrate the validity of the proposed techniques.

关 键 词：Inverse model spatio-temporal heterogeneity spatio-temporal correlation 

分 类 号：X51[环境科学与工程—环境工程]