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Journal overview

Please note, from 2022 the Print ISSN is not in active use as this journal is no longer published in print.

Statistical Theory and Related Fields is an international academic journal sponsored jointly by East China Normal University (ECNU) and the Chinese Association for Applied Statistics (CAAS). It aims to publish significant and original articles in modern statistical theory and related fields in natural, economical, medical, and social science. The emphasis is to meet the needs of statistical application and methodology development in a rapidly changing world, and to promote the use of statistics in quantitative studies and interdisciplinary investigations.

The advent of the era of Big Data has not only brought about great challenges to statisticians around the world, but also provided vast opportunities for them to develop new statistical theories and methods, as well as to find new applications in many fields. On the other hand, the number, subject scopes and geographic distribution of existing international academic journals in statistics can hardly meet the communication needs of statisticians, especially of those from China’s Mainland.

The journal covers a range of topics, including but are not limited to:

  • Statistical analysis for Big Data
  • Bayesian statistics
  • Financial statistics
  • Actuarial studies
  • Biostatistics
  • Survey methodology
  • Non-parametric and semi-parametric statistics
  • Experimental design
  • Survival analysis
  • Reliability engineering
  • Multivariate analysis
  • Social statistics
  • Risk management
  • Stochastic process control
  • High dimensional data analysis

Contact Information
Editorial Office of Statistical Theory and Related Fields
Department of Serial Publication, East China Normal University
Room 623 Ganxunlou Building
3663 Northern Zhongshan Road
Shanghai 200062, China
Tel: 021-62231213
Email: [email protected]
Contacts: Wei Zhao; Shanping Wang; Yincai Tang ([email protected]); Yukun Liu ([email protected]).

STAR
Taylor & Francis/Routledge are committed to the widest possible dissemination of its journals to non-profit institutions in developing countries. Our STAR initiative offers individual researchers in Africa, South Asia and many parts of South East Asia the opportunity to gain one month’s free online access to 1,300 Taylor & Francis journals. For more information, please visit the STAR website.

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

*Please note that Statistical Theory and Related Fields converted to a full Open Access journal from Volume 6 (2022).

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