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 polices and Guest Editor responsibilities can be found here. For any inquiries related to a Special Issue, please contact the Editorial Office.
Nonparametric Inference: Methods and Applications
Deadline: 30 November 2026
Biostatistics, Data Science, and Machine Learning Applications in Public Health
Deadline: 30 December 2026
Advances in Causal Inference with Machine Learning: Methods and Application
Deadline: 19 March 2027
Statistical Methods for Hypothesis Testing
Deadline: 25 April 2027
Advances in Time Series Analysis and Forecasting: Statistical, Machine Learning, Deep Learning, and Foundation Models
Deadline: 25 May 2027
New Perspectives in the Modelling of Count Data
Deadline: 14 July 2027
Copula Theory and Application
Deadline: 31 July 2027
Extreme Weather Modeling and Forecasting
Deadline: 15 November 2027

