Statistical and Mathematical Methods in Econometric Analysis
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: 25 May 2026 | Viewed by 1
Special Issue Editor
Interests: econometric theory; semiparametric regression; high-frequency time series; empirical finance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The advancement of econometric analysis increasingly depends on innovative statistical and mathematical methods capable of addressing high-dimensional, nonlinear, and rapidly changing data environments. Recent progress has highlighted the integration of machine learning and artificial intelligence techniques with traditional econometric frameworks, offering powerful new tools for forecasting, structural modeling, and causal inference. At the same time, advances in Bayesian estimation, bootstrap methods, stochastic processes, and optimization theory have further enriched both empirical applications and theoretical developments.
This Special Issue aims to provide a platform for high-quality research that advances the methodological frontiers of econometrics. We warmly welcome contributions that not only develop rigorous statistical and mathematical techniques, but also demonstrate their applicability in economics, finance, and related disciplines. Both theoretical papers and applied studies with strong methodological innovations are encouraged.
We invite you to submit your latest research to this Special Issue and look forward to your valuable contributions.
Dr. Fu-Lai Lin
Guest Editor
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 100 words) can be sent to the Editorial Office for announcement on this website.
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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.
Keywords
- econometric methodology
- statistical inference
- mathematical modeling
- Bayesian methods
- machine learning in econometrics
- artificial intelligence
- high-dimensional analysis
- bootstrap techniques
- stochastic processes
- optimization in econometrics.
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