Statistics & Probability Letters SCIE

国际简称：STAT PROBABIL LETT 参考译名：统计和概率信函

主要研究方向：数学-统计学与概率论非预警期刊审稿周期：约6.0个月

《统计和概率信函》(Statistics & Probability Letters)是一本由Elsevier出版的以数学-统计学与概率论为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。

4区中科院分区
Q3 JCR分区
150 年发文量
0.9 IF影响因子
未开放 是否OA
56 H-index
1982 创刊年份
Semimonthly 出版周期
English 出版语言

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.

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Statistics & Probability Letters期刊信息

ISSN：0167-7152
出版语言：English
是否OA：未开放
E-ISSN：1879-2103
出版地区：NETHERLANDS
是否预警：否
出版商：Elsevier
出版周期：Semimonthly
创刊时间：1982
开源占比：0.0596
Gold OA文章占比：16.50%
OA被引用占比：0.0353...
出版国人文章占比：0
出版撤稿占比：0
研究类文章占比：100.00%

Statistics & Probability Letters CiteScore评价数据（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指数

1.6

0.448

0.894

学科类别	分区	排名	百分位
大类：Decision Sciences 小类：Statistics, Probability and Uncertainty	Q3	104 / 168	38%
大类：Decision Sciences 小类：Statistics and Probability	Q3	173 / 278	37%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Statistics & Probability Letters中科院评价数据

中科院 2023年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	数学	4区	STATISTICS & PROBABILITY 统计学与概率论	4区

中科院 2022年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	数学	4区	STATISTICS & PROBABILITY 统计学与概率论	4区

中科院 2021年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	数学	4区	STATISTICS & PROBABILITY 统计学与概率论	4区

中科院 2021年12月基础版

Top期刊	综述期刊	大类学科		小类学科
否	否	数学	4区	STATISTICS & PROBABILITY 统计学与概率论	4区

中科院 2021年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	数学	4区	STATISTICS & PROBABILITY 统计学与概率论	4区

中科院 2020年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	数学	4区	STATISTICS & PROBABILITY 统计学与概率论	4区

Statistics & Probability Letters JCR评价数据（2023-2024年最新版）

按JIF指标学科分区	收录子集	分区	排名	百分位
学科：STATISTICS & PROBABILITY	SCIE	Q3	102 / 168	39.6%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：STATISTICS & PROBABILITY	SCIE	Q3	117 / 168	30.65%

Statistics & Probability Letters历年数据统计

影响因子

中科院分区

Statistics & Probability Letters中国学者发文选摘

1、A deviation inequality for increment of a G-Brownian motion under G-expectation and applications
Author: Xu, Jie

Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 198, Issue , pp. -. DOI: 10.1016/j.spl.2023.109848
2、Adaptive and efficient estimation in the Gaussian sequence model
Author: Peng, Jingfu

Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 195, Issue , pp. -. DOI: 10.1016/j.spl.2022.109762
3、Domain of attraction of quasi-stationary distribution for absorbing Markov processes
Author: Zhang, Hanjun; Mo, Yongxiang

Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 192, Issue , pp. -. DOI: 10.1016/j.spl.2022.109692
4、A lack-of-fit test for quantile regression process models
Author: Feng, Xingdong; Liu, Qiaochu; Wang, Caixing

Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 192, Issue , pp. -. DOI: 10.1016/j.spl.2022.109680
5、Cramer moderate deviations for a supercritical Galton-Watson process
Author: Doukhan, Paul; Fan, Xiequan; Gao, Zhi-Qiang

Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 192, Issue , pp. -. DOI: 10.1016/j.spl.2022.109711
6、Cram?r-type moderate deviations for the log-likelihood ratio of inhomogeneous Ornstein-Uhlenbeck processes
Author: Cui, Jiazhen; Liu, Qiaojing

Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 192, Issue , pp. -. DOI: 10.1016/j.spl.2022.109690
7、Stationary distributions for stochastic differential equations with memory driven by ?-stable processes
Author: Wang, Wei; Wang, Xiulian

Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 195, Issue , pp. -. DOI: 10.1016/j.spl.2022.109766
8、Moderate deviations of hitting times of a family of density-dependent Markov chains
Author: He, Yuheng; Xue, Xiaofeng

Journal: STATISTICS & PROBABILITY LETTERS. 2023; Vol. 195, Issue , pp. -. DOI: 10.1016/j.spl.2023.109780