Statistical Papers is a forum for presentation and critical assessment of statistical methods encouraging the discussion of methodological foundations and potential applications.
- The Journal stresses statistical methods that have broad applications, giving special attention to those relevant to the economic and social sciences.
- Covers all topics of modern data science, such as frequentist and Bayesian design and inference as well as statistical learning.
- Contains original research papers (regular articles), survey articles, short communications, reports on statistical software, and book reviews.
- High author satisfaction with 90% likely to publish in the journal again.