Bayesian Meta-Reasoning: Determining Model Adequacy from within a Small World
نویسنده
چکیده
This paper presents a Bayesian framework for assessing the adequacy of a model without the necessity of explicitly enumerating a specific alternate model. A test statistic is developed for tracking the performance of the model across repeated problem instances. Asymptotic methods are used to derive an approximate distribution for �he. t�st statistic. When the model is rejected, the mdtvtdual components of the test statistic can be used to guide search for an alternate model.
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تاریخ انتشار 1992