Information Theoretic Criteria: New Theoretical Developments and Applications, 2nd Edition
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 (18 July 2024) | Viewed by 797
Special Issue Editor
Interests: statistical signal processing; time series; model selection; graphical models; dictionary learning; data compression
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Akaike Information Criterion and the Bayesian Information Criterion (sometimes called Schwarz Information Criterion) were introduced decades ago and are still extensively used in many areas of science and engineering. They are implemented in various software packages and deemed to be standard instruments for model selection. At the same time, there is a significant body of literature in which other information theoretic (IT) criteria have been proposed.
This Special Issue aims to be a forum for the presentation of new and improved IT criteria. Authors are encouraged to submit works that are focused on the following topics:
- Development of novel criteria;
- Theoretical analysis of the performance of the existing or newly proposed criteria;
- Computational aspects related to IT criteria;
- Use of the IT criteria in machine learning, especially in deep learning;
- Applications of the IT criteria in non-standard settings such as, for example, big data, data sets with missing values, and non-Gaussian noise;
- Use of the IT criteria in time series analysis and forecasting;
- Applications of the Minimum Description Length and of the Minimum Message Length;
- Other applications where IT criteria play the key role for improving the performance.
Dr. Ciprian Giurcaneanu
Guest Editor
Manuscript Submission Information
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Keywords
- information theoretic criteria
- model selection
- theoretical analysis
- machine learning
- signal processing
- time series analysis and forecasting
- applications
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