Bayesian Analysis

期刊基本信息

期刊名称：Bayesian Analysis

出版国家或地区：UNITED STATES

是否OA：No

期刊ISSN：1931-6690

期刊官方网站：http://mathworld.wolfram.com/BayesianAnalysis.html

通讯方式：INT SOC BAYESIAN ANALYSIS, CARNEGIE MELLON UNIV, DEPT STTISTICS, PITTSBURGH, USA, PA, 15213

涉及的研究方向：数学-数学跨学科应用

出版周期：Irregular

出版年份：2006

期刊数据表：

Bayesian Analysis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。

历年影响因子

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