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Inferential Models

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 i...

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Bibliographic Details
Main Authors: Martin, Ryan, Liu, Chuanhai (Author)
Format: eBook
Language:English
Published: Chapman and Hall/CRC 2015
Edition:1st edition
Subjects:
Probabilities / Fast
Inference / Http://id.loc.gov/authorities/subjects/sh85066082
Uncertainty / Mathematical Models / Http://id.loc.gov/authorities/subjects/sh2008113073
Incertitude / Modèles Mathématiques
Probability
Probabilités
Mathematical Statistics / Fast
Uncertainty / Mathematical Models / Fast
Inférence (logique)
Probabilities / Http://id.loc.gov/authorities/subjects/sh85107090
Probability / Aat
Mathematical Statistics / Http://id.loc.gov/authorities/subjects/sh85082133
Inference / Fast
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary: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
Item Description:Made available through: Safari, an O'Reilly Media Company
Physical Description:276 pages

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