High-Dimensional Data Analysis and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 211
Special Issue Editors
Interests: high-dimensional data analysis; subgroup detection; biostatistics; infectious disease modelling; health economic and policy modelling
Interests: survival analysis; statistical machine learning; network model; model selection; empirical likelihood; statistical genetics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are excited to announce a Special Issue dedicated to "High-Dimensional Data Analysis and Applications", inviting researchers and practitioners to contribute their innovative work to this rapidly evolving field. This Special Issue seeks to highlight cutting-edge methodologies and applications addressing the challenges and opportunities presented by high-dimensional data. We encourage submissions that explore novel statistical techniques, advanced machine learning approaches, and real-world applications across diverse domains. By sharing your research, you will contribute to advancing knowledge and fostering discussions on state-of-the-art solutions in high-dimensional data analysis. Join us in shaping the future of this dynamic field and submit your work for consideration in this impactful Special Issue.
Dr. Mu Yue
Dr. Jinfeng Xu
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- high-dimensional data analysis
- dimensionality reduction
- statistical learning
- machine learning
- predictive modeling
- big data applications
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