Recent Advances in Computational Statistics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 29647
Special Issue Editors
Interests: bayesian statistics; computational statistics; high-dimensional inference; statsitical machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: statistics; machine learning; deep learning; model checking; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Interests: bayesian statistics; computational statistics; mixture models; variable selection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
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
Guest Editors
Manuscript Submission Information
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Keywords
- computational statistics
- data analytics
- statistical methodology
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