期刊簡(jiǎn)介預(yù)計(jì)審稿時(shí)間： 較快,2-4周

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(jì)算統(tǒng)計(jì)與數(shù)據(jù)分析 (CSDA) 是計(jì)算與方法統(tǒng)計(jì)網(wǎng)絡(luò) (CMStatistics) 和國(guó)際統(tǒng)計(jì)計(jì)算協(xié)會(huì) (IASC) 的官方出版物，是一本致力于傳播計(jì)算統(tǒng)計(jì)和數(shù)據(jù)分析領(lǐng)域的方法研究和應(yīng)用的國(guó)際期刊。該期刊由四個(gè)評(píng)審部分組成，分為以下主題領(lǐng)域：

I) 計(jì)算統(tǒng)計(jì) - 涉及以下內(nèi)容的稿件：1) 計(jì)算機(jī)對(duì)統(tǒng)計(jì)方法的明確影響（例如，貝葉斯計(jì)算、生物信息學(xué)、計(jì)算機(jī)圖形學(xué)、計(jì)算機(jī)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(shí)的系統(tǒng)、機(jī)器學(xué)習(xí)、神經(jīng)網(wǎng)絡(luò)、數(shù)值和優(yōu)化方法、并行計(jì)算、統(tǒng)計(jì)數(shù)據(jù)庫(kù)、統(tǒng)計(jì)系統(tǒng)），以及 2) 統(tǒng)計(jì)軟件和算法的開發(fā)、評(píng)估和驗(yàn)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(chǔ)。

II）數(shù)據(jù)分析的統(tǒng)計(jì)方法 - 涉及生物統(tǒng)計(jì)學(xué)（臨床試驗(yàn)、流行病學(xué)研究、統(tǒng)計(jì)遺傳學(xué)或遺傳/環(huán)境相互作用的設(shè)計(jì)和分析方法）、化學(xué)計(jì)量學(xué)、分類、數(shù)據(jù)探索、密度估計(jì)、實(shí)驗(yàn)設(shè)計(jì)、環(huán)境計(jì)量學(xué)、教育、圖像分析、營(yíng)銷、無(wú)模型數(shù)據(jù)探索、模式識(shí)別、心理測(cè)量學(xué)、統(tǒng)計(jì)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(yīng)用 - [...]

IV）統(tǒng)計(jì)數(shù)據(jù)科學(xué)年鑒 [...]

《Computational Statistics & Data Analysis》(計(jì)算統(tǒng)計(jì)和數(shù)據(jù)分析)編輯部通訊方式為ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE。如果您需要協(xié)助投稿或潤(rùn)稿服務(wù)，您可以咨詢我們的客服老師。我們專注于期刊咨詢服務(wù)十年，熟悉發(fā)表政策，可為您提供一對(duì)一投稿指導(dǎo)，避免您在投稿時(shí)頻繁碰壁，節(jié)省您的寶貴時(shí)間，有效提升發(fā)表機(jī)率，確保SCI檢索（檢索不了全額退款）。我們視信譽(yù)為生命，多方面確保文章安全保密，在任何情況下都不會(huì)泄露您的個(gè)人信息或稿件內(nèi)容。