基于随机梯度马尔可夫链蒙特卡罗的指数随机图模型的贝叶斯分析

IF 4.9 2区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Qian Zhang, F. Liang
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引用次数: 0

摘要

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Bayesian Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte Carlo
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来源期刊
Bayesian Analysis
Bayesian Analysis 数学-数学跨学科应用
CiteScore
6.50
自引率
13.60%
发文量
59
审稿时长
>12 weeks
期刊介绍: 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.
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