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Comment: Bayes, Model Uncertainty, and Learning From Data
Sociological Methodology ( IF 6.118 ) Pub Date : 2018-08-01 , DOI: 10.1177/0081175018799095
Bruce Western 1
Affiliation  

Robert M. O’Brien is a professor emeritus at the University of Oregon. He specializes in criminology and quantitative methods. Within criminology, he focuses on the methods used to gather criminological data, on the analysis of crime rates, and on the task of extricating the effects of ages, periods, and cohorts on crime rates. His most recent publication on that topic, “Homicide Arrest Rate Trends in the United States: The Contributions of Periods and Cohorts (1965–2015),” appeared in 2018 in the Journal of Quantitative Criminology. In quantitative methods, some of his contributions involve the effects of using interval data as ordinal, generalizability theory, identification in structural equation modeling measurement models, the use of multicollinearity indices, and an obsession with age-period-cohort models. In 2015 he published a book on this topic, Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data (Chapman & Hall, 2015).

中文翻译:

评论:贝叶斯、模型不确定性和从数据中学习

Robert M. O'Brien 是俄勒冈大学的名誉教授。他专攻犯罪学和定量方法。在犯罪学领域,他专注于收集犯罪学数据的方法、犯罪率分析以及消除年龄、时期和群体对犯罪率影响的任务。他关于该主题的最新出版物“美国凶杀案逮捕率趋势:时期和队列的贡献(1965-2015)”发表于 2018 年的定量犯罪学杂志。在定量方法中,他的一些贡献涉及使用区间数据作为序数、泛化理论、结构方程建模测量模型中的识别、多重共线性指数的使用以及对年龄-周期-队列模型的痴迷。
更新日期:2018-08-01
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