Applied Probability, Information Theory and Applications
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 4561
Special Issue Editors
Interests: time series analysis; information measures; complex networks; complex systems; machine learning; stochastic simulation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will host papers presented at the 10th International Workshop on Applied Probability (IWAP2023), http://iwap2020.web.auth.gr/. The IWAP2023 covers many topics involving applied probability, whereas this Special Issue covers only topics of applied probability related to information theory and related applications. Thus, the main topics for this Issue include information theory in conjunction with stochastic processes, estimation theory, data analysis, data mining and Monte Carlo methods, as well as applications in diverse fields, such as finance and seismology, as stated in the main IWAP2023 topics.
Prof. Dr. Dimitris Kugiumtzis
Prof. Dr. George Tsaklidis
Guest Editors
Manuscript Submission Information
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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. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- information theory
- estimation
- stochastic processes
- data analysis
- data mining
- Monte Carlo methods
- complex systems
- finance
- seismology
- other applications
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