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(xué)會的電子期刊。它試圖發(fā)表廣泛的文章，在一些理論或應(yīng)用的背景下演示或討論貝葉斯方法。該期刊歡迎提交涉及提出新的計(jì)算和統(tǒng)計(jì)方法的意見書;對現(xiàn)有方法進(jìn)行批判性審查和討論;歷史視角;描述重要的科學(xué)或政策應(yīng)用領(lǐng)域;案例研究;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。對提交內(nèi)容的評估基于內(nèi)容的重要性和溝通的有效性。討論論文通常由總編輯選擇，或者由編輯在常規(guī)提交的論文中提出建議。此外，該雜志鼓勵個(gè)別作者提交手稿作為討論論文。