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Statistics Research: Data Depth Analysis and Circular Data
This special issue belongs to the section “D1: Probability and Statistics“.
Special Issue Information
Dear Colleagues,
This Special Issue will bring together cutting-edge research at the intersection of data depth and circular data analysis—two rapidly evolving areas in modern statistics. Data depth analysis provides powerful, nonparametric tools for exploring multivariate and functional data, offering robust methods for visualization, ranking, and inference. Circular data analysis addresses challenges in statistics where data are directional or periodic in nature, such as wind directions, time-of-day patterns, or biological rhythms.
This Special Issue will highlight recent advances in theory, methodology, and applications, showcasing contributions that push the boundaries of robust statistics, directional modeling, and interdisciplinary collaboration. We also encourage submissions at the confluence of these themes and modern AI, such as deep generative models for complex data and multimodal learning.
Dr. Sungsu Kim
Guest Editor
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
- circular statistics
- data depth
- multivariate analysis
- directional data
- robust methods
- generative models
- multimodal learning
- spatial intelligence
- statistical learning
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