雜志介紹

Computational Statistics & Data Analysis雜志介紹

《Computational Statistics & Data Analysis》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱計(jì)算統(tǒng)計(jì)和數(shù)據(jù)分析，本刊主要出版、報(bào)道數(shù)學(xué)-STATISTICS & PROBABILITY領(lǐng)域的研究動態(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。該刊已被國際權(quán)威數(shù)據(jù)庫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1.5，最新CiteScore 指數(shù)為3.7。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• Sparse spatially clustered coefficient model via adaptive regularization

  Author: Zhong, Yan; Sang, Huiyan; Cook, Scott J.; Kellstedt, Paul M.

• Estimation for partial functional partially linear additive model

  Author: Tang, Qingguo; Tu, Wei; Kong, Linglong

• Specification testing for ordinary differential equation models with fixed design and applications to COVID-19 epidemic models

  Author: Liu, Ran; Zhu, Lixing

• Empirical Gittins index strategies with ?-explorations for multi-armed bandit problems

  Author: Li, Xiao; Li, Yuqiang; Wu, Xianyi

英文介紹

Computational Statistics & Data Analysis雜志英文介紹

Computational Statistics and Data Analysis (CSDA), an Official Publication of the network Computational and Methodological Statistics (CMStatistics) and of the International Association for Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of four refereed sections which are divided into the following subject areas:

I) Computational Statistics - Manuscripts dealing with: 1) the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics,computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), and 2) the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article.

II) Statistical Methodology for Data Analysis - Manuscripts dealing with novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmental interactions), chemometrics, classification, data exploration, density estimation, design of experiments, environmetrics, education, image analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures.

[...]

III) Special Applications - [...]

IV) Annals of Statistical Data Science [...]