Machine Learning, Statistics and Big Data, 2nd Edition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 811
Special Issue Editor
Interests: spatial econometrics; economic forecasting; econometrics; statistics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Intense technological progress has led to a significant increase in data production and the importance of evaluating these data. Algorithms have been constructed in order to analyze and predict data for decision-making purposes. Classical econometrics are increasingly being compared to or even replaced by machine learning methods for data analysis. Special analytical procedures are being developed for big data situations, which can be found in all fields of human activity, from finance to transportation. As the goal of the European Commission is to sustain innovations in machine learning and artificial intelligence techniques in different sectors, the main goal of this Special Issue is to gather researchers in the fields of statistics, econometrics, machine learning, and big data. Contributions in the form of different types of theoretical developments, procedure constructions, or applications of such methods are welcome. FinTech and artificial intelligence methods applied in finance are encouraged.
This Special Issue is supported by and developed under the auspices of the COST CA 19130 "Fintech and Artificial Intelligence in Finance", supported by COST (European Cooperation in Science and Technology); www.cost.eu, https://fin-ai.eu/, and the Marie Skłodowska-Curie Actions under the European Union's Horizon Europe research and innovation program for the Industrial Doctoral Network on Digital Finance, acronym: DIGITAL, Project No. 101119635, https://www.digital-finance-msca.com/.
Dr. Codruta Mare
Guest Editor
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Keywords
- statistics
- econometrics
- machine learning
- big data
- financial econometrics
- spatial econometrics
- spatial machine learning
- sentiment analysis
- FinTech
- digital finance
- artificial intelligence
- supervised vs. unsupervised learning
- forecasting methods
- IoT
- cloud
- blockchain
- architecture for big data
- big data analytics
- data mining
- cyberspace
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Related Special Issue
- Machine Learning, Statistics and Big Data in Mathematics (10 articles)
