Statistical Inference, Planning, and Decision Making in High-Dimensional Data Analysis
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 9
Special Issue Editor
Interests: model selection; post-estimation and prediction; shrinkage and empirical Bayes; Bayesian data analysis; machine learning; business; information science; statistical genetics; image analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in technology, major progress in mathematical representations, rapid developments in artificial intelligence modeling, and the rise of deep transdisciplinary collaborations have driven an explosion in data generation and a wide adoption of statistical and computational inference methods across diverse scientific fields. These advances bring both significant challenges and exciting opportunities to experiment, innovate, validate, and translate new mathematical and statistical foundations into applied AI that enhances many aspects of human life. Statistical learning, modeling, estimation, prediction, and machine learning algorithms are evolving in parallel at an unprecedented pace. This Special Issue will highlight modern approaches in statistics, computation, data science, and artificial intelligence, with a focus on their practical applications across scientific disciplines, particularly in post-estimation strategies.
Prof. Dr. S. Ejaz Ahmed
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. Entropy 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 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
- artificial intelligence
- statistics
- statistical learning
- statistical inference
- machine learning
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