Statistics & Probability Letters

杂志介绍

Statistics & Probability Letters杂志介绍

《Statistics & Probability Letters》是一本以English为主的未开放获取国际优秀期刊，中文名称统计和概率信函，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0.9，最新CiteScore 指数为1.6。

本刊近期中国学者发表的论文主要有：

• A deviation inequality for increment of a G-Brownian motion under G-expectation and applications

  Author: Xu, Jie

• Adaptive and efficient estimation in the Gaussian sequence model

  Author: Peng, Jingfu

• Domain of attraction of quasi-stationary distribution for absorbing Markov processes

  Author: Zhang, Hanjun; Mo, Yongxiang

• A lack-of-fit test for quantile regression process models

  Author: Feng, Xingdong; Liu, Qiaochu; Wang, Caixing

英文介绍

Statistics & Probability Letters杂志英文介绍

Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature.

Statistics & Probability Letters is a refereed journal. Articles will be limited to six journal pages (13 double-space typed pages) including references and figures. Apart from the six-page limitation, originality, quality and clarity will be the criteria for choosing the material to be published in Statistics & Probability Letters. Every attempt will be made to provide the first review of a submitted manuscript within three months of submission.

The proliferation of literature and long publication delays have made it difficult for researchers and practitioners to keep up with new developments outside of, or even within, their specialization. The aim of Statistics & Probability Letters is to help to alleviate this problem. Concise communications (letters) allow readers to quickly and easily digest large amounts of material and to stay up-to-date with developments in all areas of statistics and probability.

The mainstream of Letters will focus on new statistical methods, theoretical results, and innovative applications of statistics and probability to other scientific disciplines. Key results and central ideas must be presented in a clear and concise manner. These results may be part of a larger study that the author will submit at a later time as a full length paper to SPL or to another journal. Theory and methodology may be published with proofs omitted, or only sketched, but only if sufficient support material is provided so that the findings can be verified. Empirical and computational results that are of significant value will be published.