Markov Chain Models and Applications: Latest Advances and Prospects
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: closed (20 March 2025) | Viewed by 1370
Special Issue Editor
Special Issue Information
Dear Colleagues,
Markov chains are ubiquitous stochastic processes that are of theoretical interest in their own right, but also used within statistical inference procedures and applied to many complex systems across applied sciences.
This Special Issue will host manuscripts pushing the frontiers of discrete and continuous-time Markov chains, covering problems of both theoretical and computational natures. Examples could include manuscripts related to the following themes:
- Markov chain Monte Carlo methods and diagnostics.
- Statistical inference and data science for and in Markov chains and processes.
- Sensitivity and uncertainty analysis in Markov chain networks.
- Applications of Markov chains to real-life problems, including, but not limited to, systems biology, ecology, epidemiology, and engineering.
Dr. Ben Swallow
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.
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
- Markov chain Monte Carlo methods and diagnostics
- statistical inference and data science for and in Markov chains and processes
- sensitivity and uncertainty analysis in Markov chain networks
- applications of Markov chains to real-life problems, including, but not limited to, systems biology, ecology, epidemiology, and engineering
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
