Bayesian reasoning
نویسندگان
چکیده
منابع مشابه
The Effect of Bayesian Reasoning Training on the Results of Clinical Reasoning Tests of Interns
Introduction: Clinical reasoning includes a range of thinking about clinical medicine at all stages of patient evaluation. Bayesian theory can be used to refute or confirm differential diagnoses in the clinical reasoning process. In this way, by learning the basic mathematical language of probability in medicine, we can change our beliefs according to new evidence. The aim of this study is to i...
متن کاملBayesian Reasoning Over Models
A crucial part of verifying and validating models is the identification of inconsistencies. Inconsistencies can exist whenever models overlap semantically. Such overlaps are predominant in model-driven engineering, where the use of multiple viewpoints leads to a variety of incomplete representations of one or more aspects of a system. While the commonly employed rule-based approaches to identif...
متن کاملIntroduction to Bayesian reasoning.
Interest in Bayesian analyses has increased recently, in part as a response to policy makers wanting sound scientific bases for health technology assessments, and associated healthcare funding decisions. This paper provides a brief and simplified description of Bayesian reasoning. Bayes is illustrated in a clinical setting of an expert helping a woman understand the potential risk of passing on...
متن کاملGraphical Reasoning with Bayesian Networks
Nowadays, Bayesian networks are seen by many researchers as standard tools for reasoning with uncertainty. Despite the fact that Bayesian networks are graphical representations, representing dependence and independence information, normally the emphasis of the visualisation of the reasoning process is on showing changes in the associated marginal probability distributions due to entering observ...
متن کاملReasoning patterns in Bayesian games
Bayesian games have been traditionally employed to describe and analyze situations in which players have private information or are uncertain about the game being played. However, computing Bayes-Nash equilibria can be costly, and becomes even more so if the common prior assumption (CPA) has to be abandoned, which is sometimes necessary for a faithful representation of real-world systems. We pr...
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ژورنال
عنوان ژورنال: Nature
سال: 1991
ISSN: 0028-0836,1476-4687
DOI: 10.1038/353708a0