Contemporary Bayesian Analysis: Methods and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: 10 January 2026 | Viewed by 831
Special Issue Editors
Interests: Bayesian econometrics and statistics with applications to economics, finance, health science, and social science, and time series analysis and forecasting
2. Centre for Applied Macroeconomic Analysis, Australian National University, Canberra, ACT 2601, Australia
Interests: Bayesian statistics; time series econometrics; high-dimensional methods; empirical macroeconomics
Special Issue Information
Dear Colleagues,
We invite submissions to a Special Issue in the journal Mathematics of MDPI on “Contemporary Bayesian Analysis: Methods and Applications”. This Special Issue recognizes the Bayesian revolution in econometrics, statistics, and data science, especially pertaining to their methods and applications.
Authors with papers using any Bayesian approaches are encouraged to submit their papers or have a discussion with us. Papers with recent methods and applications are more than welcome. We also expect to receive contributions from emerging researchers.
Best regards,
Dr. Nuttanan Wichitaksorn
Dr. Mengheng Li
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-blind 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.
Keywords
- Bayesian analysis
- econometrics and statistics
- time series analysis and forecasting
- Bayesian applications
- Bayesian machine learning
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