Machine Learning, Statistics and Big Data

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 field 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/

Dr. Codruta Mare
Dr. Ioana Florina Coita
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

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.