Advances in Bayesian Statistics for Stochastic Process Models
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: closed (31 August 2023)
Special Issue Editors
Interests: statistical modeling and inference for data with a very complex structure and/or with high dimension
Special Issues, Collections and Topics in MDPI journals
Interests: Bayesian methods; change point analysis; large dimensional random matrix; model selection; spatial statistics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
You are welcome to make contributions to this Special Issue on “Advances in Bayesian Statistics for Stochastic Process Models”. Compared to frequentist statistics, Bayesian statistics has its advantages in inference, predictions, and decision making and plays an important unique role for stochastic process models. This is a research area attracting more and more researchers’ attention in recent years. The focus of this Special Issue is on original contributions addressing challenges in Bayesian analysis for models defined by stochastic processes, such as Markov chain and the Markov process, Brownian motion and diffusion process, and Gaussian process, with applications in queueing theory, reliability, MCMC, risk analysis, and machine learning, among others, in the fields of computer science, telecommunications, market and finance, transportations, health, and more.
Prof. Dr. Yuehua Wu
Prof. Dr. Baisuo Jin
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 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
- Bayesian analysis
- likelihood
- prior and posterior distributions
- stochastic processes models
- Markov chain/process
- MCMC
- algorithms
- queueing theory
- reliability
- risk analysis
- machine learning.
