CAUSAL

作品数：243被引量：241H指数：7
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相关作者：徐晓东张晓晖吕思琪卢冬陈锦娣更多>>
相关机构：清华大学南京师范大学北京航空航天大学对外经济贸易大学更多>>
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相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金上海市自然科学基金更多>>
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Detecting direct associations in a network by information theoretic approaches被引量：3
《Science China Mathematics》2019年第5期823-838,共16页Jifan Shi Juan Zhao Tiejun Li Luonan Chen 
supported by the National Key R&D Program of China (Grant No. 2017YFA0505500);the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDB13040700);National Natural Science Foundation of China (Grant Nos. 31771476, 91529303, 91439103, 11421101 and 91530322)
Detecting direct associations or inferring networks based on the observed data is an important issue in many fields, including biology, physics, engineering and social studies. In this work, we focus on the informatio...
关键词：NETWORK inference DIRECT association INFORMATION theory CAUSAL relation systems BIOLOGY BIOINFORMATICS 
Nonparametric estimation of quantiles for a class of stationary processes
《Science China Mathematics》2015年第12期2621-2632,共12页HUANG Chu WANG HanChao LIN ZhengYan 
We study smoothed quantile estimator for a class of stationary processes. We obtain the convergency rates and the Bahadur representation, as well as the asymptotic normality for this estimator by the method of m-depen...
关键词：quantile estimator kernel method causal process m-dependent approximation asymptotic inference 
Consistency of kernel density estimators for causal processes被引量：3
《Science China Mathematics》2014年第5期1083-1108,共26页LIN ZhengYan ZHAO YueXu 
supported by National Natural Science Foundation of China(Grant Nos.11171303 and 61273093);the Specialized Research Fund for the Doctor Program of Higher Education(Grant No.20090101110020)
Using the blocking techniques and m-dependent methods,the asymptotic behavior of kernel density estimators for a class of stationary processes,which includes some nonlinear time series models,is investigated.First,the...
关键词：kernel density estimator consistency rate dependent measure causal process 
Automorphism groups of causal symmetric spaces of Cayley type and bounded symmetric domains
《Science China Mathematics》2005年第z1期283-294,共12页Soji Kaneyuki 
Symmetric spaces of Cayley type are a higher dimensional analogue of a onesheeted hyperboloid in R3. They form an important class of causal symmetric spaces. To a symmetric space of Cayley type M, one can associate a ...
关键词：CAUSAL structure  SYMMETRIC space of CAYLEY type  BOUNDED SYMMETRIC domain. 
Relationship of causal effects in a causal chain and related inference被引量：1
《Science China Mathematics》2004年第5期730-740,共11页GENG Zhi HE Yangbo WANG Xueli 
This work was supported by the National Natural Science Foundation of China(Grant No.90209010);NBRP2003CB715900.
This paper discusses the relationship among the total causal effect and local causal effects in a causal chain and identifiability of causal effects. We show a transmission relationship of causal effects in a causal c...
关键词：CAUSAL chain  CAUSAL inference  COUNTERFACTUAL model  GRAPHICAL model  potential CAUSAL function. 
Identifiability of causal effect for a simple causal model被引量：1
《Science China Mathematics》2002年第3期335-341,共7页郑忠国 童行伟 张艳艳 
This work was supported by the National Natural Science Foundation of China (Grant Nos. 39930160, 19871003).
Counterfactual model is put forward to discuss the causal inference in the directed acyclic graph and its corresponding identifiability is thus studied with the ancillary information based on conditional independence....
关键词：directed ACYCLIC graph  intervention  CAUSAL effects  ancillary information  ignorability replaceability. 
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