The journal publishes reviews of recent statistical methodology and applications. Topics include machine learning algorithms, statistical modeling for complex systems and environments, and the analysis of various data types such as functional, spatiotemporal, tensor, and multiomics data. Applications span fields like finance, climate science, epidemiology, biomedical research, and humanitarian action.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Statistics and ProbabilityQ1
Statistics, Probability and UncertaintyQ1
Subject Classification
Web of Science Categories
Mathematics, Interdisciplinary ApplicationsStatistics & Probability
Scopus Categories
Statistics, Probability and UncertaintyStatistics and Probability
Research Topics (OpenAlex)
Statistical Methods and InferenceStatistical Methods and Bayesian InferenceAdvanced Causal Inference TechniquesBayesian Methods and Mixture ModelsAdvanced Statistical Methods and ModelsBayesian Modeling and Causal InferenceStatistical Methods in Clinical TrialsGaussian Processes and Bayesian InferenceData Analysis with RCensus and Population Estimation