雜志介紹

Journal Of Multivariate Analysis雜志介紹

《Journal Of Multivariate Analysis》是一本以English為主的未開(kāi)放獲取國(guó)際優(yōu)秀期刊，中文名稱多元分析雜志，本刊主要出版、報(bào)道數(shù)學(xué)-STATISTICS & PROBABILITY領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為1.4，最新CiteScore 指數(shù)為2.4。

本刊近期中國(guó)學(xué)者發(fā)表的論文主要有：

• Estimation and order selection for multivariate exponential power mixture models

  Author: Chen, Xiao; Feng, Zhenghui; Peng, Heng

• Multivariate tests of independence based on a new class of measures of independence in Reproducing Kernel Hilbert Space

  Author: Zhang, Wei; Gao, Wei; Ng, Hon Keung Tony

• On the eigenvectors of large-dimensional sample spatial sign covariance matrices

  Author: Xu, Yangchang; Xia, Ningning

• CLT for spiked eigenvalues of a sample covariance matrix from high-dimensional Gaussian mean mixtures

  Author: Li, Weiming; Zhu, Junpeng

英文介紹

Journal Of Multivariate Analysis雜志英文介紹

Founded in 1971, the Journal of Multivariate Analysis (JMVA) is the central venue for the publication of new, relevant methodology and particularly innovative applications pertaining to the analysis and interpretation of multidimensional data.

The journal welcomes contributions to all aspects of multivariate data analysis and modeling, including cluster analysis, discriminant analysis, factor analysis, and multidimensional continuous or discrete distribution theory. Topics of current interest include, but are not limited to, inferential aspects of

Copula modeling

Functional data analysis

Graphical modeling

High-dimensional data analysis

Image analysis

Multivariate extreme-value theory

Sparse modeling

Spatial statistics.