Special Issues

Stats publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions follow MDPI's standard editorial process. The journal’s Editor-in-Chief and/or designated Editorial Board Member will oversee Guest Editor appointments and Special Issue proposals, checking their content for relevance and ensuring the suitability of the material for the journal. The papers published in a Special Issue will be collected and displayed on a dedicated page of the journal’s website. Further information on MDPI's Special Issue policies and Guest Editor responsibilities can be found here. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Benford's Law(s) and Applications (Second Edition) submission deadline 31 Oct 2025 | Viewed by 316 | Submission Open
Keywords: Benford’ s Law(s); theoretical foundations of Benford’ s Law(s); fraud detection; data quality and reliability; conformance tests; forensic accounting
Ethicametrics
edited by
submission deadline 31 Oct 2025 | 1 articles | Viewed by 301 | Submission Open
Keywords: metrics of ethics (MOE); ethics of metrics (EOM); behavioural model; mathematics; multi-level analysis; statistics; interdisciplinary science
Nonparametric Inference: Methods and Applications
edited by
submission deadline 28 Nov 2025 | Viewed by 177 | Submission Open
Keywords: nonparametric statistical methods; distribution-free approach; hypothesis testing; resampling methods; machine learning
Robust Statistics in Action II
edited by
submission deadline 31 Dec 2025 | 2 articles | Viewed by 2377 | Submission Open
Keywords: regression; multivariate analysis; time series; public health; classification (supervised and unsupervised) neural networks; factor analysis; fraud detection; predictive maintenance
Advances in Machine Learning, High-Dimensional Inference, Shrinkage Estimation, and Model Validation
edited by
submission deadline 25 Mar 2026 | Viewed by 387 | Submission Open
Keywords: high-dimensional data; machine learning (ML) methodologies; theoretical statistical research
(This special issue belongs to the Section Applied Statistics and Machine Learning Methods)
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