About the Journal

The scope of AllStats covers, but is not limited to:

• Probability theory and statistical inference

• Biostatistics, bioinformatics, and medical statistics

• Environmental, agricultural, and social statistics

• Statistical modeling and machine learning

• Big data analytics and computational statistics

• Bayesian methods and stochastic processes

• Econometrics, business, and industrial statistics

• Data visualization and reproducible research practices

By fostering dialogue between statisticians, data scientists, and researchers from diverse disciplines, AllStats aims to promote innovative solutions to contemporary challenges in science, technology, and society. The journal welcomes original research articles, reviews, methodological notes, and case studies that demonstrate the impact of statistical thinking across domains.