Inferential Models: Reasoning with Uncertainty
2015年9月 · CRC Press
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A New Approach to Sound Statistical ReasoningInferential Models: Reasoning with Uncertainty introduces the authors' recently developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to input prior information. The authors show how an IM produces meaning
關於作者
Ryan Martin is an associate professor in the Department of Mathematics, Statistics, and Computer Science at the University of Illinois at Chicago.
Chuanhai Liu is a professor in the Department of Statistics at Purdue University.
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