HIGH-DIMENSIONAL

作品数：275被引量：336H指数：8
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相关作者：张伟陈予恕钟尚平周玮李华更多>>
相关机构：中国科学技术大学东北师范大学湖南省作物种质创新与资源利用重点实验室福州大学更多>>
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High-dimensional large-scale mixed-type data imputation under missing at random
《Science China Mathematics》2025年第4期969-1000,共32页Wei Liu Guizhen Li Ling Zhou Lan Luo 
supported by National Key R&D Program of China(Grant No.2022YFA1003702);National Natural Science Foundation of China(Grant Nos.11931014 and 12271441)。
Missingness in mixed-type variables is commonly encountered in a variety of areas.The requirement of complete observations necessitates data imputation when a moderate or large proportion of data is missing.However,in...
关键词：IMPUTATION high-dimensional mixed-type data missing at random generalized factor model 
Decoherence of high-dimensional orbital angular momentum entanglement in anisotropic turbulence
《Communications in Theoretical Physics》2025年第4期39-44,共6页Xiang Yan Peng-Fei Zhang Cheng-Yu Fan Heng Zhao Jing-Hui Zhang Bo-Yun Wang Jun-Yan Wang 
supported by the Project of the Hubei Provincial Department of Science and Technology(Grant Nos.2022CFB957,2022CFB475);the National Natural Science Foundation of China(Grant No.11847118)。
The decoherence of high-dimensional orbital angular momentum(OAM)entanglement in the weak scintillation regime has been investigated.In this study,we simulate atmospheric turbulence by utilizing a multiple-phase scree...
关键词：orbital angular momentum high-dimensional entangled state anisotropic turbulence 
Semiparametric expectile regression for high-dimensional heavy-tailed and heterogeneous data
《Applied Mathematics(A Journal of Chinese Universities)》2025年第1期53-77,共25页ZHAO Jun YAN Guan-ao ZHANG Yi 
Supported by the Hangzhou Joint Fund of the Zhejiang Provincial Natural Science Foundation of Chi-na(LHZY24A010002);the MOE Project of Humanities and Social Sciences(21YJCZH235).
High-dimensional heterogeneous data have acquired increasing attention and discussion in the past decade.In the context of heterogeneity,semiparametric regression emerges as a popular method to model this type of data...
关键词：expectile regression HETEROGENEITY heavy tail partially linear additive model 
Blockwise Empirical Likelihood Method for Spatial Dependent Data
《应用数学》2025年第1期47-63,共17页TANG Jie ZOU Yunlong QIN Yongsong LI Yufang 
Supported by the National Natural Science Foundation of China(12061017,12361055);the Research Fund of Guangxi Key Lab of Multi-source Information Mining&Security(22-A-01-01)。
Existing blockwise empirical likelihood(BEL)method blocks the observations or their analogues,which is proven useful under some dependent data settings.In this paper,we introduce a new BEL(NBEL)method by blocking the ...
关键词：SARAR model Empirical likelihood Confidence region High-dimensional statistical inference 
Birkhoff Orbits for Twist Homeomorphisms on the High-Dimensional Cylinder
《Wuhan University Journal of Natural Sciences》2025年第1期43-48,共6页ZHOU Tong 
Supported by the National Natural Science Foundation of China(12201446);the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(22KJB110005);the Shuangchuang Program of Jiangsu Province(JSSCBS20220898)。
It is known that monotone recurrence relations can induce a class of twist homeomorphisms on the high-dimensional cylinder,which is an extension of the class of monotone twist maps on the annulus or two-dimensional cy...
关键词：monotone recurrence relation twist homeomorphism high-dimensional cylinder bounded action Birkhoff orbit 
Inference for High-Dimensional Streamed Longitudinal Data
《Acta Mathematica Sinica,English Series》2025年第2期757-779,共23页Senyuan Zheng Ling Zhou 
Supported by National Key R&D Program of China(Grant No.2022YFA1003702);National Natural Science Foundation of China(Grant No.12271441)。
With the advent of modern devices,such as smartphones and wearable devices,high-dimensional data are collected on many participants for a period of time or even in perpetuity.For this type of data,dependencies between...
关键词：Debiased lasso high-dimensional inference streamed longitudinal data renewable inference 
High-integrated photonic tensor core utilizing high-dimensional lightwave and microwave multidomain multiplexing
《Light(Science & Applications)》2025年第1期227-237,共11页Xiangyan Meng Nuannuan Shi Guojie Zhang Junshen Li Ye Jin Shiyou Sun Yichen Shen Wei Li Ninghua Zhu Ming Li 
supported by the Youth Innovation Promotion Association of Chinese Academy of Sciences under grant no.2022111(N.S.);the International Partnership Program of Chinese Academy of Sciences under grant no.100GJHZ2022028GC(M.L.);the Beijing Municipal Natural Science Foundation under grant no.Z210005(M.L.);the National Natural Science Foundation of China under grant nos.61925505(M.L.),62235011(N.S.)and 62075212(N.S.).
The burgeoning volume of parameters in artificial neural network models has posed substantial challenges to conventional tensor computing hardware.Benefiting from the available optical multidimensional information ent...
关键词：tuning RESONATOR TENSOR 
High-dimensional Poincarébeams generated through cascaded metasurfaces for high-security optical encryption被引量：1
《PhotoniX》2024年第1期499-511,共13页Jitao Ji Chen Chen Jiacheng Sun Xin Ye Zhizhang Wang Jian Li Junyi Wang Wange Song Chunyu Huang Kai Qiu Shining Zhu Tao Li 
provided by National Key Research and Development Program of China(2022YFA1404301);National Natural Science Foundation of China(Nos.62325504,62305149,92250304,62288101);Dengfeng Project B of Nanjing University;the micro-fabrication center of the National Laboratory of Solid State Microstructures(NLSSM)for technique support。
Optical encryption plays an increasingly important role in the field of information security owing to its parallel processing capability and low power consumption.Employing the ultrathin metasurfaces in optical encryp...
关键词：Poincare beams Cascaded metasurfaces Optical encryption 
Robustifying and simplifying high-dimensional regression with applications to yearly stock return and telematics data
《Financial Innovation》2024年第1期246-261,共16页Malvina Marchese Maria Dolores Martinez-Miranda Jens Perch Nielsen Michael Scholz 
financial support from Ministerio de Ciencia,Innovacion y Universidades(PID2020-116587GB-I00);financial support from Austrian National Bank(Jubilaumsfondsprojekt 18901)。
The availability of many variables with predictive power makes their selection in a regression context difficult.This study considers robust and understandable low-dimensional estimators as building blocks to improve ...
关键词：Forecasting Non-linear prediction Stock returns Dimension reduction TELEMATICS 
Asymptotic Independence of the Quadratic Form and Maximum of Independent Random Variables with Applications to High-Dimensional Tests
《Acta Mathematica Sinica,English Series》2024年第12期3093-3126,共34页Da Chuan CHEN Long FENG De Cai LIANG 
supported by the National Natural Science Foundation of China(Grant Nos.12101335 and 12271271);the Natural Science Foundation of Tianjin(Grant No.21JCQNJC00020);the Fundamental Research Funds for the Central Universities,Nankai University(Grant Nos.63211088 and 63221050);supported by National Natural Science Foundation of China(Grant No.12101332);supported by Shenzhen Wukong Investment Company,the Fundamental Research Funds for the Central Universities under(Grant No.ZB22000105);the China National Key R&D Program(Grant Nos.2019YFC1908502,2022YFA1003703,2022YFA1003802,2022YFA1003803);the National Natural Science Foundation of China(Grants Nos.12271271,11925106,12231011,11931001 and 11971247)。
This paper establishes the asymptotic independence between the quadratic form z^(T)Az and maximum max1≤i≤p|zi|of a sequence of independent sub-Gaussian random variables z=(z1m…zp)^(T).Based on this theoretical resu...
关键词：Asymptotic independence high dimensional data large p small n one-sample test two-sample test 
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