Journal Title：Computational Statistics & Data Analysis

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 [...]

計算統(tǒng)計與數(shù)據(jù)分析 (CSDA) 是計算與方法統(tǒng)計網(wǎng)絡(luò) (CMStatistics) 和國際統(tǒng)計計算協(xié)會 (IASC) 的官方出版物，是一本致力于傳播計算統(tǒng)計和數(shù)據(jù)分析領(lǐng)域的方法研究和應用的國際期刊。該期刊由四個評審部分組成，分為以下主題領(lǐng)域：

I) 計算統(tǒng)計 - 涉及以下內(nèi)容的稿件：1) 計算機對統(tǒng)計方法的明確影響（例如，貝葉斯計算、生物信息學、計算機圖形學、計算機密集型推理方法、數(shù)據(jù)探索、數(shù)據(jù)挖掘、專家系統(tǒng)、啟發(fā)式、基于知識的系統(tǒng)、機器學習、神經(jīng)網(wǎng)絡(luò)、數(shù)值和優(yōu)化方法、并行計算、統(tǒng)計數(shù)據(jù)庫、統(tǒng)計系統(tǒng)），以及 2) 統(tǒng)計軟件和算法的開發(fā)、評估和驗證。軟件和算法可以與稿件一起提交，并與在線文章一起存儲。

II）數(shù)據(jù)分析的統(tǒng)計方法 - 涉及生物統(tǒng)計學（臨床試驗、流行病學研究、統(tǒng)計遺傳學或遺傳/環(huán)境相互作用的設(shè)計和分析方法）、化學計量學、分類、數(shù)據(jù)探索、密度估計、實驗設(shè)計、環(huán)境計量學、教育、圖像分析、營銷、無模型數(shù)據(jù)探索、模式識別、心理測量學、統(tǒng)計物理、圖像處理、穩(wěn)健程序的新穎和原創(chuàng)數(shù)據(jù)分析策略和方法的稿件。

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III）特殊應用 - [...]

IV）統(tǒng)計數(shù)據(jù)科學年鑒 [...]

Computational Statistics & Data Analysis創(chuàng)刊于1983年，由Elsevier出版商出版，收稿方向涵蓋數(shù)學 - 計算機：跨學科應用全領(lǐng)域，此刊是中等級別的SCI期刊，所以過審相對來講不是特別難，但是該刊專業(yè)認可度不錯，仍然是一本值得選擇的SCI期刊 。平均審稿速度 較快,2-4周 ，影響因子指數(shù)1.5，該期刊近期沒有被列入國際期刊預警名單，廣大學者值得一試。