Computational Statistics, 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 May 2025 | Viewed by 97
Special Issue Editor
Special Issue Information
Dear Colleagues,
In today's data-driven world, computational statistics and data analysis are crucial in uncovering insights, making informed decisions, and driving innovation across various disciplines. We are pleased to invite contributions to our upcoming Special Issue of Mathematics, entitled "Computational Statistics, Data Analysis and Applications", which aims to bring together cutting-edge research and practical applications that showcase the power and versatility of these fields. This Issue focuses on the intersection of computational methods and statistical analysis. It aims to combine the latest research and practical applications in these fields.
In this Special Issue, we welcome original research articles and reviews that cover a range of topics within our scope. Potential contributions in this Special Issue will cover a wide range of topics, including but not limited to advanced statistical models and algorithms for big data, advanced data visualization, predictive analytics, time series analysis, machine learning, and applications of computational statistics in specific industries.
If successful, by presenting cutting-edge research and real-world case studies, this Special Issue provides valuable insights and practical solutions for researchers, practitioners, and decision-makers interested in leveraging computational statistics and data analysis to solve complex problems and drive innovation.
We look forward to receiving your contributions.
Dr. Shanshan Wang
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 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
- statistical models and algorithms
- renewable estimation
- data visualization
- complex data analytics
- machine learning
- data analysis and applications
- computational statistics
- forecasting and time series analysis
- censored data analysis and applications
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