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(guó)際貝葉斯分析學(xué)會(huì)的電子期刊。它旨在發(fā)表各種文章，展示或討論貝葉斯方法在某些理論或應(yīng)用背景下的表現(xiàn)。該期刊歡迎提交涉及新計(jì)算和統(tǒng)計(jì)方法的介紹；對(duì)現(xiàn)有方法的批判性評(píng)論和討論；歷史觀點(diǎn)；重要科學(xué)或政策應(yīng)用領(lǐng)域的描述；案例研究；以及實(shí)驗(yàn)設(shè)計(jì)、數(shù)據(jù)收集、數(shù)據(jù)共享或數(shù)據(jù)挖掘的方法。

對(duì)提交內(nèi)容的評(píng)估基于內(nèi)容的重要性和溝通的有效性。討論論文通常由主編從常規(guī)提交內(nèi)容中選擇或由編輯推薦。此外，該期刊鼓勵(lì)個(gè)人作者提交手稿以供討論論文審議。

Bayesian Analysis創(chuàng)刊于2006年，由Carnegie Mellon University出版商出版，收稿方向涵蓋數(shù)學(xué) - 數(shù)學(xué)跨學(xué)科應(yīng)用全領(lǐng)域，此刊是該細(xì)分領(lǐng)域中屬于非常不錯(cuò)的SCI期刊，在行業(yè)細(xì)分領(lǐng)域中學(xué)術(shù)影響力較大，專業(yè)度認(rèn)可很高，所以對(duì)原創(chuàng)文章要求創(chuàng)新性較高，如果您的文章質(zhì)量很高，可以嘗試。平均審稿速度 12周，或約稿 ，影響因子指數(shù)4.9，該期刊近期沒有被列入國(guó)際期刊預(yù)警名單，廣大學(xué)者值得一試。