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Journal of Multivariate Analysis

  • ISSN: 0047-259X

Editor-In-Chief: von Rosen

Next planned ship date: May 24, 2024

  • 5 Year impact factor: 1.8
  • Impact factor: 1.6

The Journal of Multivariate Analysis (JMVA) is the central venue for the publication of new, relevant methodology and particularly theoretical developments of multivari… Read more

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Next planned ship date:
May 24, 2024

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The Journal of Multivariate Analysis (JMVA) is the central venue for the publication of new, relevant methodology and particularly theoretical developments of multivariate statistics combined with innovative applications pertaining to the analysis and interpretation of multidimensional data.
Papers making substantial contributions to regression or time series analysis for multidimensional response variables are invited.

Please note that a JMVA article is of length 15-25 pages. All proofs of propositions, theorems and lemmas should appear in the main body of the text or in an appendix (not in supplement).

The journal welcomes contributions to all aspects of multivariate data analysis and modeling, including:

cluster analysis, discriminant analysis, factor analysis, independent component analysis and multidimensional continuous or discrete distribution theory, where the theory should connect to multivariate statistical inference.



Topics of current interest include, but are not limited to, inferential aspects of:

Change point analysis

Copula modeling

Functional data analysis

Graphical modeling

High-dimensional data analysis

Image analysis

Multivariate extreme-value theory

Multivariate mixed models.

Sparse modeling

Spatial statistics



Submissions dealing with univariate models, including regression models with a single response variable and univariate time series models, are usually deemed to fall outside the journal's remit.

Papers whose content is probabilistic in nature or whose main contribution is to substantive areas (e.g., actuarial science, biostatistics, economics, finance or hydrology) typically fall outside the journal's scope and will only be considered for publication if the statistical methodology used is both novel and broadly applicable.

Finally, note that contributors to multivariate survival analysis, reliability theory and statistical quality control should submit their papers to journals specializing in these areas to ensure that their work reaches the targeted audience.

This journal has an Open Archive. All published items, including research articles, have unrestricted access and will remain permanently free to read and download 48 months after publication. All papers in the Archive are subject to Elsevier's user license.