Special Issue "Methodological and Applied Contributions on Stochastic Modelling and Forecasting"
Deadline for manuscript submissions: closed (31 July 2021).
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
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
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 papers will be 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 1600 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.
- Stochastic processes
- Functional data analysis
- Smoothing techniques
- Dynamic prediction
- Data-driven stochastic models
- Applications in biosciences, engineering. and other areas of interest