Informative priors in Bayesian inference and computation
نویسندگان
چکیده
منابع مشابه
Network inference using informative priors.
Recent years have seen much interest in the study of systems characterized by multiple interacting components. A class of statistical models called graphical models, in which graphs are used to represent probabilistic relationships between variables, provides a framework for formal inference regarding such systems. In many settings, the object of inference is the network structure itself. This ...
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ژورنال
عنوان ژورنال: Statistical Analysis and Data Mining: The ASA Data Science Journal
سال: 2018
ISSN: 1932-1864,1932-1872
DOI: 10.1002/sam.11371