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国外档案信息化研究热点主题简析——基于LISA数据库的题录分析 被引量:3
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作者 颜祥林 王兴娅 +1 位作者 沈双洁 何利 《档案学通讯》 CSSCI 北大核心 2012年第3期73-77,共5页
通过对LISA中收录的近三年档案信息化方面文献的分析,系统总结国外档案信息化研究的热点主题,发现国外该领域的研究主要集中在资源保存与安全、资源建设、管理系统、信息组织和服务平台等方面,对这些热点主题进行简要阐述,以期对我国档... 通过对LISA中收录的近三年档案信息化方面文献的分析,系统总结国外档案信息化研究的热点主题,发现国外该领域的研究主要集中在资源保存与安全、资源建设、管理系统、信息组织和服务平台等方面,对这些热点主题进行简要阐述,以期对我国档案学研究有所借鉴。 展开更多
关键词 档案信息化 热点主题 LISA
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Current issues in high-resolution earth observation technology 被引量:20
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作者 LI DeRen TONG QingXi +2 位作者 LI RongXing GONG JianYa ZHANG LiangPei 《Science China Earth Sciences》 SCIE EI CAS 2012年第7期1043-1051,共9页
This paper reviewed the developments of the last ten years in the field of international high-resolution earth observation, and introduced the developmental status and plans for China's high-resolution earth obser... This paper reviewed the developments of the last ten years in the field of international high-resolution earth observation, and introduced the developmental status and plans for China's high-resolution earth observation program. In addition, this paper expounded the transformation mechanism and procedure from earth observation data to geospatial information and geographical knowledge, and examined the key scientific and technological issues, including earth observation networks, high-precision image positioning, image understanding, automatic spatial information extraction, and focus services. These analyses provide a new impetus for pushing the application of China's high-resolution earth observation system from a "quantity" to "quality" change, from China to the world, from providing products to providing online service. 展开更多
关键词 high-resolution earth observation sensor networks precision processing of remote sensing images automatic interpretation of remote sensing images focus services for spatial information
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Quantile Regression under Local Misspecification 被引量:1
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作者 Xiao-gang DUAN Qi-hua WANG 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2020年第4期790-802,共13页
The frequentist model averaging(FMA)and the focus information criterion(FIC)under a local framework have been extensively studied in the likelihood and regression setting since the seminal work of Hjort and Claes kens... The frequentist model averaging(FMA)and the focus information criterion(FIC)under a local framework have been extensively studied in the likelihood and regression setting since the seminal work of Hjort and Claes kens in 2003.One inconvenience,however,of the existing works is that they usually require the involved criterion function to be twice differentiable which thus prevents a direct application to the case of quantile regression(QR).This as well as some other intrinsic merits of QR motivate us to study the FIC and FMA in a locally misspecified linear QR model.Specifically,we derive in this paper the explicit asymptotic risk expression for a general submodel-based QR estimator of a focus parameter.Then based on this asymptotic result,we develop the FIC and FMA in the current setting.Our theoretical development depends crucially on the convexity of the objective function,which makes possible to establish the asymptotics based on the existing convex stochastic process theory.Simulation studies are presented to illustrate the finite sample performance of the proposed method.The low birth weight data set is analyzed. 展开更多
关键词 frequentist model averaging focus information criterion local framework quantile regression
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