Journal Of The Royal Statistical Society Series B-statistical Methodology

杂志介绍

Journal Of The Royal Statistical Society Series B-statistical Methodology杂志介绍

《Journal Of The Royal Statistical Society Series B-statistical Methodology》是一本以English为主的未开放获取国际优秀期刊，中文名称皇家统计学会杂志系列 B 统计方法论，本刊主要出版、报道数学-STATISTICS & PROBABILITY领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为3.1，最新CiteScore 指数为8.8。

本刊近期中国学者发表的论文主要有：

• Ordering factorial experiments

  Author: Yang, Liuqing; Zhou, Yongdao; Liu, Min-Qian

• Estimating heterogeneous treatment effects with right-censored data via causal survival forests

  Author: Cui, Yifan; Kosorok, Michael R.; Sverdrup, Erik; Wager, Stefan; Zhu, Ruoqing

• Debiased and thresholded ridge regression for linear models with heteroskedastic and correlated errors

  Author: Zhang, Yunyi; Politis, Dimitris N.

• Proximal causal inference for complex longitudinal studies

  Author: Ying, Andrew; Miao, Wang; Shi, Xu; Tchetgen, Eric J. Tchetgen

英文介绍

Journal Of The Royal Statistical Society Series B-statistical Methodology杂志英文介绍

Series B (Statistical Methodology) aims to publish high quality papers on the methodological aspects of statistics and data science more broadly. The objective of papers should be to contribute to the understanding of statistical methodology and/or to develop and improve statistical methods; any mathematical theory should be directed towards these aims. The kinds of contribution considered include descriptions of new methods of collecting or analysing data, with the underlying theory, an indication of the scope of application and preferably a real example. Also considered are comparisons, critical evaluations and new applications of existing methods, contributions to probability theory which have a clear practical bearing (including the formulation and analysis of stochastic models), statistical computation or simulation where original methodology is involved and original contributions to the foundations of statistical science. Reviews of methodological techniques are also considered. A paper, even if correct and well presented, is likely to be rejected if it only presents straightforward special cases of previously published work, if it is of mathematical interest only, if it is too long in relation to the importance of the new material that it contains or if it is dominated by computations or simulations of a routine nature.