Journal Of The Royal Statistical Society Series B-statistical Methodology

雜志介紹

Journal Of The Royal Statistical Society Series B-statistical Methodology雜志介紹

《Journal Of The Royal Statistical Society Series B-statistical Methodology》是一本以English為主的未開放獲取國際優秀期刊，中文名稱皇家統計學會雜志系列 B 統計方法論，本刊主要出版、報道數學-STATISTICS & PROBABILITY領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為3.1，最新CiteScore 指數為8.8。

本刊近期中國學者發表的論文主要有：

• 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

英文介紹

Journal Of The Royal Statistical Society Series B-statistical Methodology雜志英文介紹

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.