Application of Regression Models, Analysis and Bayesian Statistics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: 10 March 2025 | Viewed by 79
Special Issue Editors
Interests: applied mathematics and statistics; Bayesian inference; regression models; extreme value theory; non-parametric models; stochastic models; time-series model; environmental data; financial data
Interests: statistical analysis; data analysis; statistics; statistical modeling; probability; simulation; applied statistics; econometric analysis; applied mathematics; modeling and simulation
Special Issue Information
Dear Colleagues,
Regression models and Bayesian analysis are two of the most important areas in the field of probability and statistics. The generality of the topic implies data analysis in practically all areas of knowledge. This Special Issue focuses on new approaches to regression models, using the Bayesian paradigm, applied in the most diverse areas of knowledge. Possible topics could include the following:
- Extreme value models;
- Spatial models;
- Quantile regression;
- Dynamic models;
- Environmental and climate change analysis;
- Econometrical data;
- Multivariate analysis.
Topics not listed above but related to the title are also welcome for submission.
Dr. Fernando Ferraz do Nascimento
Dr. Marcelo Bourguignon
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
- regression models
- Bayesian analysis
- MCMC
- environmental data
- spatial models
- financial data
- extreme value theory
