Statistics

期刊简介：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. 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 .

【译文】《统计学》是一本领先的国际研究期刊，发表高质量的研究文章，这些文章在统计学和统计学习的任何活跃领域开发了新的理论、方法和应用。提交审议的论文应对统计理论做出新颖的贡献，并具有严格的数学证明；或相关的统计应用程序，并具有充分论证的用例。统计学不会发表包含不适用的统计理论或不基于坚实理论背景的统计应用的论文（例如从统计角度来看并不有趣的纯案例研究）。例如，感兴趣的主题包括：统计学习、机器学习、非参数统计、函数数据分析、时间序列网络模型、计量经济学、心理计量学、生存分析、风险管理、人工智能应用评估。同行评审政策：所有提交的稿件均需经过编辑的初步评审。如果发现适合进一步考虑，论文将接受独立、匿名专家审稿人的同行评审。所有同行评审都是单匿名的，可以在 http://mc.manuscriptcentral.com/gsta 上提交。