Statistical Theory and Related Fields

Special Issue on Big Data Statistical Theory and Applications

This special issue aims to gather the latest research findings in the field and foster discussions on cutting-edge statistical theories, efficient algorithms, and their practical applications across various domains in big data analytics. Topics include but are not limited to:
• High-dimensional statistical inference;
• Bayesian methods for big data;
• Statistical machine learning and data mining;
• Distributed computing and parallel algorithms;
• Causal inference and network data analysis;
• Time series analysis and forecasting for massive datasets;
• Functional data analysis and spatiotemporal data analysis;
• Applications in fields such as finance, healthcare, social sciences, environmental studies, and more.