Statistics is a leading international research journal that publishes high-quality research articles which develop new theory, methods and applications in any active field of statistics and statistical learning. Papers submitted for consideration should provide novel contributions to statistical theory, with rigorous mathematical proofs; or relevant statistical applications, with well demonstrated use cases. Statistics does not publish papers which contain non-applicable statistical theory, or statistical applications not based on a solid theoretical background (e.g. pure case studies which are not interesting from a statistical view). Topics of interest include, for example:

· statistical learning
· machine learning
· nonparametric statistics
· functional data analysis
· time series
· network models
· econometrics
· psychometrics
· survival analysis
· risk management
· evaluation of artificial intelligence applications.

Proposals for high-quality special issues within the general framework of the journal will be considered on their merit and should be sent to the Co-Editors for review.

Peer Review Policy

All submitted manuscripts are subject to initial appraisal by the Editor. If found suitable for further consideration, papers are subject to peer-review by independent, anonymous expert referees. All peer-review is single-anonymized and submissions can be made at http://mc.manuscriptcentral.com/gsta.
Publishing Ethics
The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of Committee of Publications Ethics (COPE) and utilises CrossCheck for all Journals. More information on our ethical standards and policies can be found here: http://authorservices.taylorandfrancis.com/ethics-for-authors/
The Journal has an appeals and complaints policy which can be viewed here: https://authorservices.taylorandfrancis.com/peer-review-appeals-and-complaints-from-authors/.

Editors: 
Matei Demetrescu - University zu Kiel, Germany 
Alexander Meister - Universität Rostock, Germany 

Managing Editor: 
Thorsten Dickhaus  - University of Bremen, Germany 

Editorial Board: 
Denis Belomestny -  University of Duisburg-Essen, Germany
Malgorzata Bogdan - Politechnika Wroclawska, Poland
Fabienne Comte - Université René Descartes - Paris 5, France 
Thorsten Dickhaus -  University of Bremen, Germany 
Paul Doukhan -  University Cergy-Pontoise, France and Senior Member IUF (French University Institute)
Jochen Einbeck - Durham University, UK 
Konstantinos Fokianos - Lancaster University, UK 
Roland Fried -  Technische Universität Dortmund, Germany
Hajo Holzmann - University of Marburg, Germany 
Marie Huškovà - Charles University, Prague, Czech Republic 
Carsten Jentsch -  Technische Universität Dortmund, Germany
Jens-Peter Kreiss - Universität Braunschweig, Germany
Gwo Dong Lin - Academia Sinica, Taiwan
Yoshihiko Maesono - Universiy of Kyushu, Japan
Enno Mammen - Universität Mannheim, Germany 
Blazej Miasojedow - University of Warsaw, Poland 
Isabel Molina - Universidad Carlos III de Madrid, Spain
Ursula Müller-Harknett - Texas A&M University, USA
Michael Neumann - Friedrich-Schiller-Universität Jena,  Germany 
Spiridon Penev - University of New South Wales, Australia 
Zuzana Prásková - Charles University, Prague, Czech Republic
Luc Pronzato -Université Côte d’Azur,CNRS, I3S, France 
Suhasini Subba Rao - Texas A&M University, USA 
Angelika Rohde - Universität Freiburg, Germany 
Lorenzo Rosasco - Massachusetts Institute of Technology, USA 
Tomasz Rychlik - Polish Academy of Sciences, Poland
Tim Verdonck  - KU Leuven, Belgium
Rafael Weissbach - Universität Rostock, Germany
Silvelyn Zwanzig - Uppsala Universitet, Sweden