Recent Advances in Statistical Analysis and Applications

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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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.

• regression analysis
• hypothesis testing
• big data analysis
• machine learning applications
• large-scale data analysis
• multi-variable statistical models