Journal of Multivariate Analysis

期刊简介：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 ofCopula modelingFunctional data analysisGraphical modelingHigh-dimensional data analysisImage analysisMultivariate extreme-value theorySparse modelingSpatial statistics.

【译文】成立于1971年的《多元分析杂志》（JMVA）是发布新方法、相关方法以及特别创新应用的核心平台，这些方法与应用与多维数据的分析和解释相关。该期刊欢迎对多元数据分析与建模所有方面的贡献，包括聚类分析、判别分析、因子分析和多维连续或离散分布理论。当前感兴趣的主题包括但不限于Copula模型的推断方面、函数数据分析、图形建模、高维数据分析、图像分析和多元极值理论、稀疏建模和空间统计。