Statistical Theory and Related Fields

期刊简介：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: starf@ecnu.edu.cn Contacts: Wei Zhao; Shanping Wang; Yincai Tang (yctang@stat.ecnu.edu.cn); Yukun Liu (ykliu@sfs.ecnu.edu.cn). 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 .

【译文】《统计理论及相关领域》是由华东师范大学和中国应用统计学会联合主办的国际学术期刊。它旨在发表现代统计理论及自然、经济、医学和社会科学相关领域的重要原创文章。重点是满足快速变化的世界中统计应用和方法发展的需要，并促进统计在定量研究和跨学科调查中的应用。大数据时代的到来，不仅给全世界统计学家带来了巨大的挑战，也为他们发展新的统计理论和方法以及在许多领域寻找新的应用提供了巨大的机遇。另一方面，现有统计学国际学术期刊的数量、学科范围和地域分布难以满足统计学家特别是中国内地统计学家的交流需求。期刊涵盖的主题包括但不限于： 大数据统计分析 贝叶斯统计 金融统计 精算研究 生物统计学 调查方法论 非参数和半参数统计 实验设计 生存分析 可靠性工程 多元分析 社会统计学 风险管理 随机过程控制 高维数据分析 联系方式 统计理论及相关领域编辑部 华东师范大学丛刊部 甘训楼623室中国上海市中山北路 3663 号 邮编：200062 电话：021-62231213 电子邮件：starf@ecnu.edu.cn 联系人：赵伟；王善平;唐银才 (yctang@stat.ecnu.edu.cn);刘玉坤（ykliu@sfs.ecnu.edu.cn）。 STAR Taylor & Francis/Routledge 致力于向发展中国家的非营利机构尽可能广泛地传播其期刊。我们的 STAR 计划为非洲、南亚和东南亚许多地区的个人研究人员提供了一个月免费在线访问 1,300 种 Taylor & Francis 期刊的机会。欲了解更多信息，请访问STAR网站。