Stat

雜志介紹

Stat雜志介紹

《Stat》是一本以English為主的未開放獲取國(guó)際優(yōu)秀期刊，中文名稱統(tǒng)計(jì)，本刊主要出版、報(bào)道數(shù)學(xué)-統(tǒng)計(jì)學(xué)與概率論領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCI、SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為0.8，最新CiteScore 指數(shù)為1.4。

本刊近期中國(guó)學(xué)者發(fā)表的論文主要有：

• Non-Parametric Spatio-Temporal Self-Exciting Point Process Model With Gaussian Mixture Kernels for Crime Event Analysi

  Author: Appau Nketiah, Edward; Wang, Jialu; Li, Chenlong; Yang, Weihua; Jing, Yingchuan

• Estimation for Basis Precision Matrix by Unconstrained l1$$ {l}_1 $$-Regularized Estimato

  Author: Hu, Shuwei; Liu, Youming

• Semiparametric Analysis of Informatively Double-Censored Data Under Generalized Accelerated Hazards Model

  Author: Ma, Rui; Wang, Shuying; Sun, Jianguo; Zhao, Shishun

• Row-Wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large-Scale Scenario

  Author: Zhou, Runlin; Li, Letian; Zheng, Zemin

英文介紹

Stat雜志英文介紹

Stat is an innovative electronic journal for the rapid publication of novel and topical research results, publishing compact articles of the highest quality in all areas of statistical endeavour. Its purpose is to provide a means of rapid sharing of important new theoretical, methodological and applied research. Stat is a joint venture between the International Statistical Institute and Wiley-Blackwell.

Stat is characterised by:

? Speed - a high-quality review process that aims to reach a decision within 20 days of submission.

? Concision - a maximum article length of 10 pages of text, not including references.

? Supporting materials - inclusion of electronic supporting materials including graphs, video, software, data and images.

? Scope - addresses all areas of statistics and interdisciplinary areas.

Stat is a scientific journal for the international community of statisticians and researchers and practitioners in allied quantitative disciplines.