Bayesian Analysis

Journal Title：Bayesian Analysis

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.

《贝叶斯分析》是国际贝叶斯分析学会的电子期刊。它旨在发表各种文章，展示或讨论贝叶斯方法在某些理论或应用背景下的表现。该期刊欢迎提交涉及新计算和统计方法的介绍；对现有方法的批判性评论和讨论；历史观点；重要科学或政策应用领域的描述；案例研究；以及实验设计、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。讨论论文通常由主编从常规提交内容中选择或由编辑推荐。此外，该期刊鼓励个人作者提交手稿以供讨论论文审议。

Bayesian Analysis创刊于2006年，由Carnegie Mellon University出版商出版，收稿方向涵盖数学 - 数学跨学科应用全领域，此刊是该细分领域中属于非常不错的SCI期刊，在行业细分领域中学术影响力较大，专业度认可很高，所以对原创文章要求创新性较高，如果您的文章质量很高，可以尝试。平均审稿速度 12周，或约稿 ，影响因子指数4.9，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。