Journal Of Multivariate Analysis

雜志介紹

Journal Of Multivariate Analysis雜志介紹

《Journal Of Multivariate Analysis》是一本以English為主的未開放獲取國際優秀期刊，中文名稱多元分析雜志，本刊主要出版、報道數學-STATISTICS & PROBABILITY領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為1.4，最新CiteScore 指數為2.4。

本刊近期中國學者發表的論文主要有：

• 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.