检索结果-内蒙古大学图书馆

SSRN 2025年

作者： Zhang, Lantian Hu, Fuyan Chi, Qingjia Chen, Bifeng The Department of Statistics School of Mathematics and Statistics Wuhan University of Technology 122 Luoshi Road Hubei Wuhan China Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics Department of Mechanics and Engineering Structure Wuhan University of Technology 122 Luoshi Road Hubei Wuhan China The Department of Biological Science and Technology School of Chemistry Chemical Engineering and Life Sciences Wuhan University of Technology 122 Luoshi Road Hubei Wuhan China

During the progression of complex diseases, it is common to observe that the deterioration of the condition does not follow a smooth trajectory, and there is often a significant and critical transition from one state to another. Finding these critical transitions is of significant importance in the clinical treatment of cancer. In this study, we propose a novel computational approach, called the conditional mutual information-based single-sample network biomarker (CMISNB), which can reveal the critical transition moments of disease progression using only a single sample (https://***/ZLTSKY/CMISNB). By analyzing disease data from mouse acute lung injury, colon cancer, hepatocellular liver cancer, lung adenocarcinoma, and endometrial cancer, we validated the effectiveness of the CMISNB method during identifying critical transition moments in disease development. In particular, the CMISNB approach facilitates the discovery of new prognostic biomarkers and can provide personalized diagnoses for individuals. © 2025, The Authors. All rights reserved.

关键词： Lung cancer

来源：评论

学校读者我要写书评

暂无评论

A New Method for Computing the Expected Hitting Time between Arbitrary Different Configurations of the Multiple-Urn Ehrenfest Model

引用

数学研究 2022年第3期55卷 254-270页

作者： Sai Song Qiang Yao Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of StatisticsEast China Normal UniversityShanghai 200062China Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of StatisticsEast China Normal UniversityShanghai 200062China NYU-ECNU Institute of Mathematical Sciences at NYU Shanghai Shanghai 200062China

We study a multiple-urn version of the Ehrenfest *** this setting,we denote the n urns by Urn l to Urn n,where n≥***,M balls are randomly placed in the n *** each subsequent step,a ball is selected and put into the other n-1 urns with equal *** expected hitting time leading to a change of the M balls'status is computed using the method of stopping *** a corollary,we obtain the expected hitting time of moving all the M balls from Urn 1 to Urn 2.

关键词： Ehrenfest urn model Markov chain random walk hitting time

来源：评论

学校读者我要写书评

暂无评论

Estimation of Scale Transformation for Approximate Periodic Time Series with Long-Term Trend

引用

Journal of Mathematical Research with applications 2021年第3期41卷 238-258页

作者： Shujin WU Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of Statistics Faculty of Economics and Management East China Normal University

Approximate periodic time series means it has an approximate periodic trend. The so-called approximate periodicity refers that it looks like having periodicity, however the length of each period is not constant such as sunspot data. Approximate periodic time series has a wide application prospect in modelling social economic phenomenon. As for approximate periodic time series, the key problem is to depict its approximate periodic trend because it can be dealt as an ordinary time series only if its approximate periodic trend has been depicted. However,there is little study on depicting approximate periodic *** the paper, the authors first establish some necessary theories, especially bring forward the concept of shape-retention transformation with lengthwise compression and obtain necessary and sufficient condition for linear shape-retention transformation with lengthwise compression,then basing on the theories the authors present a method to estimate scale transformation, which can model approximate periodic trend very clearly. At last, a simulated example is analyzed by this presented method. The results show that the presented method is very effective and very powerful.

关键词： time series approximate periodicity scale transformation shape-retention transformation with lengthwise compression

来源：评论

学校读者我要写书评

暂无评论

Analysis of Stock Splits Based on Risk theory: Empirical Evidence from the Chinese Stock Markets

引用

Journal of Systems science and Information 2022年第1期10卷 19-34页

作者： Shujin WU Tong XU MOE Key Laboratory of Advanced Theory and Application in Statistics and Data Science School of StatisticsEast China Normal UniversityShanghai 200062China School of Statistics East China Normal UniversityShanghai 200062China

The paper first analyzes price change due to stock splits in Chinese stock markets,which shows stock prices typically go up for stock *** theoretical analyses based on risk theory are presented to explain the reason,where the method comes from a new perspective and obtained theoretical conclusions show that stock splits typically make stock price go up if risk-compensation function is convex,and go down if risk-compensation function is *** prices typically go up for stock splits because risk-compensation functions are mainly *** obtained conclusions are consistent with the known results in the last three decades.

关键词： stock split risk theory price Chinese stock markets

来源：评论

学校读者我要写书评

暂无评论

On the maximin distance properties of orthogonal designs via the rotation

引用

science China Mathematics 2023年第7期66卷 1593-1608页

作者： Yaping Wang Fasheng Sun Key Laboratory of Advanced Theory and Application in Statistics and Data Science Ministry of EducationSchool of StatisticsEast China Normal UniversityShanghai 200062China Key Laboratory for Applied Statistics of Ministry of Education School of Mathematics and StatisticsNortheast Normal UniversityChangchun 130024China

Space-filling designs are widely used in computer *** are frequently evaluated by the orthogonality and distance-related *** orthogonal arrays is an appealing approach to constructing orthogonal space-filling *** important issue that has been rarely addressed in the literature is the design selection for the initial orthogonal *** paper studies the maximin L_(2)-distance properties of orthogonal designs generated by rotating two-level orthogonal arrays under three *** provide theoretical justifications for the rotation method from a maximin distance perspective and further propose to select initial orthogonal arrays by the minimum G_(2)-aberration *** infinite families of orthogonal or 3-orthogonal U-type designs,which also perform well under the maximin distance criterion,are obtained and *** are presented to show the effectiveness of the constructed designs for building statistical surrogate models.

关键词： computer experiment Latin hypercube design minimum G_(2)-aberration space-filling design U-type design

来源：评论

学校读者我要写书评

暂无评论

Proportional Mean Residual Life Model with Varying Coefficients for Length-Biased and Right-Censored data

引用

Acta Mathematica Sinica,English Series 2020年第5期36卷 578-596页

作者： Da XU Yong ZHOU Key Laboratory of Applied Statistics of MOE and School of Mathematics and Statistics Northeast Normal UniversityChangchun 130024P.R.China Key Laboratory of Advanced Theory and Application in Statistics and Data Science MOEAcademy of Statistics and Interdisciplinary SciencesEast China Normal UniversityShanghai 200062P.R.China Academy of Mathematics and Systems Sciences Chinese Academy of SciencesBeijing 100190P.R.China

Length-biased data are encountered in many fields,including economics,engineering and epidemiological cohort *** are two main challenges in the analysis of such data:the assumption of independent censoring is violated and the assumed model for the underlying population is no longer satisfied for the observed *** this paper,a proportional mean residual life varyingcoefficient model for length-biased data is considered and a local pseudo likelihood method is proposed for estimating the coefficient functions in the *** properties are investigated for the proposed *** finite sample performance of the proposed methodology is demonstrated by simulation ***,the method is applied to a real data set concerning the Academy Awards.

关键词： Length-biased data proportional hazards model mean residual life varying-coefficient model

来源：评论

学校读者我要写书评

暂无评论

Sparse Estimation of High-Dimensional Inverse Covariance Matrices with Explicit Eigenvalue Constraints

引用

Journal of the Operations Research Society of China 2021年第3期9卷 543-568页

作者： Yun-Hai Xiao Pei-Li Li Sha Lu Institute of Applied Mathematics College of Mathematics and StatisticsHenan UniversityKaifeng 475000HenanChina School of Statistics Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOEEast China Normal UniversityShanghai 200062China Department of Mathematics Nanning Normal UniversityNanning 530299GuangxiChina

Firstly,this paper proposes a generalized log-determinant optimization model with the purpose of estimating the high-dimensional sparse inverse covariance *** the normality assumption,the zero components in the inverse covariance matrices represent the conditional independence between pairs of variables given all the other *** generalized model considered in this study,because of the setting of the eigenvalue bounded constraints,covers a large number of existing estimators as special ***,rather than directly tracking the challenging optimization problem,this paper uses a couple of alternating direction methods of multipliers(ADMM)to solve its dual model where 5 separable structures are *** first implemented algorithm is based on a single Gauss–Seidel iteration,but it does not necessarily converge *** contrast,the second algorithm employs the symmetric Gauss–Seidel(sGS)based ADMM which is equivalent to the 2-block iterative scheme from the latest sGS decomposition ***,we do numerical simulations using the synthetic data and the real data set which show that both algorithms are very effective in estimating high-dimensional sparse inverse covariance matrix.

关键词： Non-smooth convex minimization Inverse covariance matrix Maximum likelihood estimation Augmented Lagrangian function Symmetric Gauss–Seidel iteration

来源：评论

学校读者我要写书评

暂无评论

Convergence rate of principal component analysis with local-linear smoother for functional data under a unified weighing scheme

引用

Statistical theory and Related Fields 2020年第1期4卷 55-65页

作者： Xingyu Yan Xiaolong Pu Yingchun Zhou Xiaolei Xun Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOESchool of StatisticsEast China Normal UniversityShanghaiPeople’s Republic of China School of Data Science Fudan UniversityShanghaiPeople’s Republic of China

The unified weighing scheme for the local-linear smoother in analysing functional data can deal with data that are dense,sparse or of neither *** this paper,we focus on the convergence rate of functional principal component analysis using this *** sure asymptotic consistency and rates of convergence for the estimators of eigenvalues and eigenfunctions have been *** also provide the convergence rate of the variance estimation of the measurement *** on the results,the number of observations within each curve can be of any rate relative to the sample size,which is consistent with the earlier conclusions about the asymptotic properties of the mean and covariance estimators.

关键词： Functional principal components asymptotic properties local-linear smoothing weighing scheme

来源：评论

学校读者我要写书评

暂无评论

Nonparametrie Quantile Inference for Cause-specific Residual Life Function Under Length-biased Sampling

引用

Acta Mathematicae Applicatae Sinica 2020年第4期36卷 902-916页

作者： Fei-Peng ZHANG Cai-Yun FAN Yong ZHOU School of Economics and Finance Xi'an Jiaotong UniversityXi'an 710049China School of Statistics and Information Shanghai University of International Business and EconomicsShanghai 201620China Key Laboratory of Advanced Theory and Application in Statistics and Data Science MOE&Academy of Statistics and Interdisciplinary SciencesEast China Normal UniversityShanghai 200062China

This paper considers a competing risks model for right-censored and length-biased survival data from prevalent *** propose a nonparametric quantile inference procedure for cause-specific residual life distribution with competing risks *** also derive the asymptotic properties of the proposed estimators of this quantile *** studies and the unemployment data demonstrate the practical utility of the methodology.

关键词： Length-biased data competing risks quantile residual life estimating equation

来源：评论

学校读者我要写书评

暂无评论

Semiparametric quantile-difference estimation for length-biased and right-censored data

引用

science China Mathematics 2019年第9期62卷 1823-1838页

作者： Yutao Liu Shucong Zhang Yong Zhou School of Statistics and Mathematics Central University of Finance and EconomicsBeijing100081China School of Statistics and Management Shanghai University of Finance and EconomicsShanghai200433China Key Laboratory of Advanced Theory and Application in Statistics and Data Science(MOE) Institute of Statistics and Interdisciplinary Sciences and School of StatisticsEast China Normal UniversityShanghai200241China

Prevalent cohort studies frequently involve length-biased and right-censored data, a fact that has drawn considerable attention in survival analysis. In this article, we consider survival data arising from lengthbiased sampling, and propose a new semiparametric-model-based approach to estimate quantile differences of failure time. We establish the asymptotic properties of our new estimators theoretically under mild technical conditions, and propose a resampling method for estimating their asymptotic variance. We then conduct simulations to evaluate the empirical performance and efficiency of the proposed estimators, and demonstrate their application by a real data analysis.

关键词： quantile differences length-biased sampling right-censored proportional hazards model

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：