雜志介紹

Statistics & Probability Letters雜志介紹

《Statistics & Probability Letters》是一本以(yi)(yi)English為主的(de)(de)(de)未開放獲取國際優秀期刊，中文名稱統計(ji)和概率信(xin)函，本刊主要(yao)出版、報道數(shu)學-STATISTICS & PROBABILITY領(ling)域(yu)(yu)的(de)(de)(de)研究動態(tai)以(yi)(yi)及在該(gai)領(ling)域(yu)(yu)取得的(de)(de)(de)各方面的(de)(de)(de)經(jing)驗和科研成果(guo)，介紹該(gai)領(ling)域(yu)(yu)有關本專業(ye)的(de)(de)(de)最新進(jin)展(zhan)(zhan)，探討行(xing)業(ye)發展(zhan)(zhan)的(de)(de)(de)思路和方法，以(yi)(yi)促(cu)進(jin)學術(shu)信(xin)息(xi)交流，提(ti)高行(xing)業(ye)發展(zhan)(zhan)。該(gai)刊已(yi)被(bei)國際權威數(shu)據庫SCIE收錄(lu)，為該(gai)領(ling)域(yu)(yu)相(xiang)關學科的(de)(de)(de)發展(zhan)(zhan)起到了(le)良好的(de)(de)(de)推動作(zuo)用(yong)，也(ye)得到了(le)本專業(ye)人員的(de)(de)(de)廣(guang)泛認可。該(gai)刊最新影響(xiang)因(yin)子為0.9，最新CiteScore 指(zhi)數(shu)為1.6。

本刊近期中(zhong)國學者發表的論文主要有：

• 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

英文介紹

Statistics & Probability Letters雜志英文介紹

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.