Computational Statistics & Data Analysis

杂志介绍

Computational Statistics & Data Analysis杂志介绍

《Computational Statistics & Data Analysis》是一本以English为主的未开放获取国际优秀期刊，中文名称计算统计和数据分析，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1.5，最新CiteScore 指数为3.7。

本刊近期中国学者发表的论文主要有：

• 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

英文介绍

Computational Statistics & Data Analysis杂志英文介绍

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.

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III) Special Applications - [...]

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