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Advances in Multivariate Statistics and Related Topics for the Fourth Industrial Revolution

This special issue belongs to the section “D1: Probability and Statistics“.

Special Issue Information

Dear Colleagues,

Due to the fourth industrial revolution and the Internet of Things (IoT), more data are generated every second across all sectors of industry. The abundance of available data yields more complex problems and has created the opportunity for the development of new methods in the statistical, mathematical, and computer sciences to solve those problems. Specifically, the extraction of knowledge and insight from multivariate and multidimensional data has become critically important and a key focus research area over the last few years. Therefore, this Special Issue is dedicated to advancements in multivariate statistical methods and related topics, which are of interest to researchers and data science practitioners alike.

Dr. Roelof Coetzer
Dr. Shawn Liebenberg
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multivariate data analysis and modeling
  • estimation and descriptive modeling
  • prediction and classification
  • deep learning
  • active learning
  • surrogate models
  • latent variable models
  • change point analysis

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Published Papers

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Mathematics - ISSN 2227-7390