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Journal overview

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/.

Authors can choose to publish gold open access in this journal.

Read the Instructions for Authors for information on how to submit your article.

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Latest issues

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Journal news & offers

Statistics will be organizing a Special Track at xAI Conference 2024: Statistical Methods for AI. Special issue to follow post-conference.Special subscription rate of US$100/£60 for members of BS. Contact +44 (0)20 7017 5543 or [email protected] to subscribe. (Quote UE04401W)

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