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. It 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. AStA - Advances in Statistical Analysis has three designated sections: Statistical Applications: The Statistical Application section features contributions where novel and challenging applied research questions are tackled with novel forms of statistical modelling, an innovative combination of analysis techniques, or recently developed yet underused methods. Applications that rely on well-established statistical methodology and do not contain an innovative methodological contribution are not within our scope. Traditionally, social sciences and particularly business and economics applications are at home at AStA, but submissions from 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 covering the development of novel statistical methodology that is of broad interest to applied and theoretical statisticians alike. Submissions should be illustrated by a substantial application and should focus on methodology relevant for statistical modelling and analysis. Papers on computational aspects or at the interface to data science, statistical learning and machine learning are also well within the scope of AStA while purely theoretical papers or papers with a mathematical focus are not AStA’s priority. 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. A review paper should, in general, contain a numerical comparison or an illustration along real data Authors submitting a manuscript should indicate for which section their work is intended. All submissions can be accompanied by online supplemental material and authors are encouraged to provide data and code for their analyses which will be published on the journal website. 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 Publishes original contributions to statistical theory, methods, and applications that have a sound basis in probability and mathematics Official journal of the German Statistical Society Fosters research in new fields such as environmetrics Examines exciting new methodological developments taking place in more traditional areas of research