Mathematical Modeling and Machine Learning with Application to Economics and Finance

Dear Colleagues,

The purpose of this Special Issue is a collection of articles devoted to the development and implementation of advanced mathematical and computational methods in the field of economics, finance and social science. These methods can be based both on traditional statistical modeling methods and on new tools associated with the development of intelligent digital technologies and data science.

The focus of this Special Issue is mathematical modeling and machine learning for facing of such problems as digital economy, financial risks and social development under Industry 5.0. In the age of big data, statistics, machine learning and advanced analytics become highly important in the decision-making process in different fields of economics, social development, and finance. We are looking for new and innovative approaches to mathematical statistics and data science in multidisciplinary models. High-quality papers are solicited to address both theoretical and practical issues—advancements in statistical learning, high-dimensional approaches, complex data analysis, and causal inference, among others—will be highly welcome.

Prof. Dr. Ekaterina Orlova
Guest Editor

Manuscript Submission Information

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