The Journal of Multivariate Analysis publishes new methodology and theoretical developments of multivariate statistics combined with innovative applications pertaining to the analysis and interpretation of multidimensional data. Topics include inferential aspects of Copula modeling, functional data analysis, graphical modeling, high-dimensional data analysis, image analysis, multivariate extreme-value theory, sparse modeling, and spatial statistics.
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Publication & Citation Trend
Articles published
Times cited
2019
2020
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2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Numerical AnalysisQ1
Statistics and ProbabilityQ1
Statistics, Probability and UncertaintyQ1
Subject Classification
Web of Science Categories
Statistics & Probability
Scopus Categories
Statistics, Probability and UncertaintyNumerical AnalysisStatistics and Probability
Research Topics (OpenAlex)
Statistical Methods and InferenceAdvanced Statistical Methods and ModelsBayesian Methods and Mixture ModelsStatistical Methods and Bayesian InferenceStatistical Distribution Estimation and ApplicationsFinancial Risk and Volatility ModelingProbability and Risk ModelsRandom Matrices and ApplicationsDiverse Scientific and Economic StudiesHuman auditory perception and evaluation