Methodological and Applied Contributions on Stochastic Modelling and Forecasting
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 45519
Special Issue Editors
Interests: functional data analysis; categorical data analysis; applied stochastic modelling and forecasting; data driven statistics in econometrics chemometrics, biomechanics, engineering, and survival analysis
Interests: functional regression models; smoothing techniques; variable selection methods and penalized regression models for high-dimensional data and applications in chemometrics, spectroscopy, biomedical science, and engineering
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to this Special Issue on “Methodological and Applied Contributions on Stochastic Modeling and Forecasting” with an original research article focused on theoretical or data-driven contributions for solving real problems in challenging research areas, such as biosciences or engineering.
With the advance of modern technology, more and more data are being recorded continuously on a discrete or continuous domain. Techniques that address these problems are framed in the theory of stochastic processes. The focus of this Issue is mainly on stochastic models under classical (Markov models and stochastic differential equations) and non-classical (functional data analysis and non-parametric regression) assumptions. Contributions with algorithms and computational tools that facilitate the application of the proposed methodologies will be especially appreciated.
Prof. Dr. Ana M. Aguilera
Dr. M. Carmen Aguilera-Morillo
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
- Stochastic processes
- Functional data analysis
- Smoothing techniques
- Dynamic prediction
- Data-driven stochastic models
- Applications in biosciences, engineering. and other areas of interest
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.