Recent Advances in Statistical Analysis and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 1241
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue aims to spotlight the recent advancements in the field of statistical analysis and its numerous practical applications. Statistical analysis practices including traditional (regression analysis, hypothesis testing, etc.) and contemporary (machine learning applications, big data analysis, etc.) methods are increasingly proving to be pivotal for a host of domains in both academia and industry and increasingly reliable for an extensive range of complex problem-solving and decision-making scenarios involving data interpretation and foresight. The main themes of this Special Issue encompass, but are not restricted to: advancements in statistical methods, applications in data science, novel statistical learning approaches, large-scale data analysis, multi-variable statistical models, multi-disciplinary integration with statistics, applications of statistical analysis in real-world scenarios, etc.
Prof. Dr. Wangli Xu
Guest Editor
Manuscript Submission Information
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Keywords
- regression analysis
- hypothesis testing
- big data analysis
- machine learning applications
- large-scale data analysis
- multi-variable statistical models
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