国家自然科学基金(11101442)

作品数：4被引量：3H指数：1
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相关机构：广州大学更多>>
相关期刊：《Science China Mathematics》《广州大学学报（自然科学版）》《Acta Mathematicae Applicatae Sinica》更多>>
相关主题：SPATIALPARTIALLYVARIABLESIEVEMCP更多>>
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Estimated conditional score function for missing mechanism model with nonignorable nonresponse
《Science China Mathematics》2017年第7期1197-1218,共22页CUI Xia ZHOU Yong 
a College Talent Cultivated by "Thousand-Hundred-Ten" Program of Guangdong Province,National Natural Science Foundation of China(Grant Nos.11471086 and 11101442);the China Scholarship Council(Grant No.201408440400);Humans and Social Science Research Team of Guangzhou University(Grant No.201503XSTD);the Training Program for Excellent Young College Teachers of Guangdong Province(Grant No.Yq201404);the State Key Program of National Natural Science Foundation of China(Grant No.71331006);the State Key Program in the Major Research Plan of National Natural Science Foundation of China(Grant No.91546202);National Center for Mathematics and Interdisciplinary Sciences (NCMIS),Key Laboratory of Key Lab of Random Complex Structures and Data Science,Academy of Mathematics and Systems Science,Chinese Academy of Sciences(Grant No.2008DP173182);Innovative Research Team of Shanghai University of Finance and Economics(Grant No.IRTSHUFE13122402)
Missing data mechanism often depends on the values of the responses,which leads to nonignorable nonresponses.In such a situation,inference based on approaches that ignore the missing data mechanism could not be valid....
关键词：conditional score function empirical likelihood missing data nonignorabe nonresponse 
Statistical Inference of Partially Specified Spatial Autoregressive Model被引量：2
《Acta Mathematicae Applicatae Sinica》2015年第1期1-16,共16页Yuan-qing ZHANG Guang-ren YANG 
Supported by the National Natural Science Foundation of China(Grant No.71371118,71471117,11101442,11471086);Foundation for Distinguished Young Talents in Higher Education of Guangdong(Grant No.LYM09011);Program for Changjiang Scholars and Innovative Research Team in University(PCSIRTIRT13077);the State Key Program of National Natural Science of China(Grant No.71331006);the Graduate Innovation Fund Project of Shanghai University of Finance and Economics(Grant No.CXJJ-2011-444)
This paper studies estimation of a partially specified spatial autoregressive model with heteroskedas- ticity error term. Under the assumption of exogenous regressors and exogenous spatial weighting matrix, the unknow...
关键词：SPATIAL instrument variable SIEVE 
Concave group methods for variable selection and estimation in high-dimensional varying coefficient models被引量：1
《Science China Mathematics》2014年第10期2073-2090,共18页YANG GuangRen HUANG Jian ZHOU Yong 
supported by National Natural Science Foundation of China(GrantNos.71271128 and 11101442);the State Key Program of National Natural Science Foundation of China(GrantNo.71331006);National Center for Mathematics and Interdisciplinary Sciences(NCMIS);Shanghai Leading Academic Discipline Project A,in Ranking Top of Shanghai University of Finance and Economics(IRTSHUFE);Scientific Research Innovation Fund for PhD Studies(Grant No.CXJJ-2011-434)
The varying-coefficient model is flexible and powerful for modeling the dynamic changes of regression coefficients. We study the problem of variable selection and estimation in this model in the sparse, high- dimensio...
关键词：basis expansion group lasso group MCP high-dimensional data SPARSITY oracle property 
基于非参数方法对随机微分方程的实证研究
《广州大学学报（自然科学版）》2013年第4期7-11,共5页崔霞 
国家自然科学基金青年基金资助项目(11101442)
首先介绍随机微分方程基本理论,然后基于我国上证综合指数的离散观测数据,运用非参数方法对随机微分方程的漂移项和扩散项进行估计.核函数的方法用来近似估计随机过程中期望函数,从而得到了漂移项和扩散项的非参数估计.相比于参数估计方...
关键词：随机微分方程 非参数方法 漂移项 扩散项 R语言 
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