AStA - Advances in Statistical Analysis, a journal of the German Statistical Society, is published quarterly and presents original contributions on statistical methodology, applications and review articles. AStA - Advances in Statistical Analysis has three designated sections: Statistical Applications: The Statistical Application section features contributions where  innovative forms of statistical modeling and analysis techniques are applied on novel and timely research questions from a wide range of application areas. Traditionally, social sciences and particularly business and economics applications are at home at AStA, but submissions with other fields of application such as engineering, environmental sciences, or life sciences including medicine are also strongly encouraged. Statistical Methodology: The Statistical Methodology section publishes original articles on statistical theory and methodological developments. The contributions should provide novel material and can have either a theoretical or computational focus. Papers on the interface to data science, statistical learning and machine learning are also well within the scope of AStA.  In any case, a paper submitted to AStA should be motivated from a practical perspective and illustrated along a timely application. Statistical Reviews: The Statistical Review section welcomes review articles in the various fields of statistics, including statistical computing and software. Particular attention is given to review papers summarizing areas that currently undergo a particularly dynamic development. Book reviews are also published in this section. Authors submitting a manuscript should indicate for which section their work is intended. AStA - Advances in Statistical Analysis offers researchers in current and emerging fields a forum to introduce, disseminate and promote new ideas in statistics and to stimulate the active discussion in the research field. This also includes exciting new methodological developments in traditional areas. The journal pursues a quick turn-around of submissions, which makes AStA attractive for authors to have their research and new results being published on time. Officially cited as: AStA Adv Stat Anal.