Recent Advances in Statistical Modeling and Simulations with Applications II

A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 62

Special Issue Editor


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Guest Editor
Department of Statistics and Actuarial-Financial Mathematics, University of the Aegean, 83200 Karlovassi, Greece
Interests: big data; machine learning; neural networks; image analysis; medical imaging; Bayesian statistics; applied statistics
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Special Issue Information

Dear Colleagues,

Every application is the result of a simulation process, which involves the use of advanced statistical techniques and is one of the most important aspects of data processing and analysis. The main purpose of statistical modeling is to simulate natural complex phenomena—both for analysis and to predict future processes. Therefore, the objective of any simulation is to identify the optimal or satisfactory solution to a problem through the operation of a real system. Often, failure to meet the above objectives is due to the complexity of the problem subjected to dig data processes.

Developing, supporting, and using simulation models requires statistical models in the form of statistical distributions. The important role of statistics is evident in simulations of reality, which are more realistic when the various variables and parameters are stochastic in nature. Statistical techniques are widely used to evaluate and predict variables, especially those used for big data, examples of which include medical images or general images, such as machine learning and neural networks.

Topics of interest for this Special Issue include, but are not limited to, the following:

  • Big data;
  • Machine learning;
  • Neural networks;
  • Image analysis;
  • Medical imaging;
  • Bayesian statistics;
  • Applied statistics;
  • Medical statistics;
  • Ecology;
  • Environmental sciences.

Dr. Stelios Zimeras
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. Axioms is an international peer-reviewed open access monthly 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 2400 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

  • big data
  • machine learning
  • neural networks
  • image analysis
  • medical imaging
  • Bayesian statistics
  • applied statistics

Published Papers

This special issue is now open for submission.
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