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.

《貝葉斯分析》是國際貝葉斯分析學會的電子期刊。它旨在發表各種文章，展示或討論貝葉斯方法在某些理論或應用背景下的表現。該期刊歡迎提交涉及新計算和統計方法的介紹；對現有方法的批判性評論和討論；歷史觀點；重要科學或政策應用領域的描述；案例研究；以及實驗設計、數據收集、數據共享或數據挖掘的方法。

對提交內容的評估基于內容的重要性和溝通的有效性。討論論文通常由主編從常規提交內容中選擇或由編輯推薦。此外，該期刊鼓勵個人作者提交手稿以供討論論文審議。

Bayesian Analysis創刊于2006年，由Carnegie Mellon University出版商出版，收稿方向涵蓋數學 - 數學跨學科應用全領域，此刊是該細分領域中屬于非常不錯的SCI期刊，在行業細分領域中學術影響力較大，專業度認可很高，所以對原創文章要求創新性較高，如果您的文章質量很高，可以嘗試。平均審稿速度 12周，或約稿 ，影響因子指數4.9，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。