Bayesian Analysis
期刊信息导读
- Bayesian Analysis基本信息
- Bayesian Analysis中科院SCI期刊分区
- 历年Bayesian Analysis影响因子趋势图
- Bayesian Analysis期刊英文简介
- Bayesian Analysis期刊中文简介
Bayesian Analysis基本信息
简称:BAYESIAN ANAL
中文名称:贝叶斯分析
研究方向:数学
2018-2019最新影响因子:2.085
2022年6月28日更新影响因子:3.396
SCI类别:SCIE
是否OA开放访问:No
出版地:UNITED STATES
出版周期:Irregular
创刊年份:2006
年文章数:47
涉及的研究方向:数学-数学跨学科应用
通讯方式:INT SOC BAYESIAN ANALYSIS, CARNEGIE MELLON UNIV, DEPT STTISTICS, PITTSBURGH, USA, PA, 15213
官方网站:http://mathworld.wolfram.com/BayesianAnalysis.html
审稿速度:>12周,或约稿
平均录用比例:较易
PMC链接:http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1931-6690%5BISSN%5D
Bayesian Analysis期刊英文简介
Bayesian Analysis is an electronic journal of the International Society for Bayesian Analysis. It seeks to publish a wide range of articles that demonstrate or discuss Bayesian methods in some theoretical or applied context. The journal welcomes submissions involving presentation of new computational and statistical methods; critical reviews and discussions of existing approaches; historical perspectives; description of important scientific or policy application areas; case studies; and methods for experimental design, data collection, data sharing, or data mining.Evaluation of submissions is based on importance of content and effectiveness of communication. Discussion papers are typically chosen by the Editor in Chief, or suggested by an Editor, among the regular submissions. In addition, the Journal encourages individual authors to submit manuscripts for consideration as discussion papers.
Bayesian Analysis期刊中文简介
贝叶斯分析是国际贝叶斯分析学会的电子期刊。它试图发表广泛的文章,在一些理论或应用的背景下演示或讨论贝叶斯方法。该期刊欢迎提交涉及提出新的计算和统计方法的意见书;对现有方法进行批判性审查和讨论;历史视角;描述重要的科学或政策应用领域;案例研究;实验设计、数据收集、数据共享或数据挖掘的方法。对提交内容的评估基于内容的重要性和沟通的有效性。讨论论文通常由总编辑选择,或者由编辑在常规提交的论文中提出建议。此外,该杂志鼓励个别作者提交手稿作为讨论论文。
中科院SCI期刊分区:
Bayesian Analysis影响因子
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