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Inferential Models: Reasoning with Uncertainty

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Inferential Models: Reasoning with Uncertainty - Martin, Ryan, and Liu, Chuanhai
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A New Approach to Sound Statistical Reasoning Inferential 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 meaningful prior-free probabilistic inference at a high level. The book covers the foundational motivations for this new IM approach, the basic theory behind its calibration properties, ...

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Inferential Models: Reasoning with Uncertainty 2020, Chapman & Hall/CRC

ISBN-13: 9780367737801

Paperback

Inferential Models: Reasoning with Uncertainty 2015, CRC Press, Oxford

ISBN-13: 9781439886489

Hardcover