Statistical Analysis and Data Mining is primarily a statistical journal focusing on novelty, intellectual importance, and relevance in current topics of contemporary research in statistics, statistical machine learning, and statistical data mining. This is interpreted broadly to include innovative analytic techniques and applications provided they have a secure grounding in mathematical rigor.  Aside from the emphasis on novelty, methodologies are expected to have been developed to the point that their key general properties can be established and their applicability can be assessed.  In principle, any topic in any emerging areas of statistical thinking is welcome.

Statistical Analysis and Data Mining also welcomes review articles on recent topics of broad contemporary interest in statistics research.