Special Issue "Recent Advances in Computational Statistics"
Deadline for manuscript submissions: 30 November 2023 | Viewed by 16918
Interests: bayesian statistics; computational statistics; high-dimensional inference; statsitical machine learning
Interests: statistics; machine learning; deep learning; model checking; bioinformatics
Interests: bayesian statistics; computational statistics; mixture models; variable selection
I am pleased to announce a Special Issue on “Recent Advances in Computational Statistics.” Nowadays, with a rapid development of the computing facilities, computational statistics has been widely used for data analysis in a broad range of fields, such as actuarial science, biometrics, biomedical engineering, econometrics, environmental science, finance markets. This Special Issue will emphasize the contribution and influence of computing on statistics and will present a collection of the latest developments in Computational Statistics, with a focus on statistical computing, algorithm, data analysis, machine learning, parallel computing, and simulation. Topics include new developments in, but are not limited to, the following:
- Advanced statistical analysis with data applications.
- Bayesian computing algorithms.
- Computational and statistical models.
- Computational methods of modeling and simulating real-world problems (e.g., the COVID-19 epidemic).
- Data mining and pattern recognition methods.
- Parametric and nonparametric machine learning algorithms.
- Statistical software development.
I look forward to receiving your submissions.
Dr. Min Wang
Dr. Haijun Gong
Dr. Liucang Wu
Dr. Songfeng Zheng
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.
- computational statistics
- data analytics
- statistical methodology