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portada Inferential Models (Chapman & Hall
Type
Physical Book
Publisher
Author
Language
English
Pages
256
Format
Paperback
ISBN13
9780367737801
Edition No.
1

Inferential Models (Chapman & Hall

Ryan Martin; Chuanhai Liu (Author) · Routledge · Paperback

Inferential Models (Chapman & Hall - Ryan Martin; Chuanhai Liu

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Synopsis "Inferential Models (Chapman & Hall "

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 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, a number of important applications, and new directions for research. It discusses alternative, meaningful probabilistic interpretations of some common inferential summaries, such as p-values. It also constructs posterior probabilistic inferential summaries without a prior and Bayes' formula and offers insight on the interesting and challenging problems of conditional and marginal inference. This book delves into statistical inference at a foundational level, addressing what the goals of statistical inference should be. It explores a new way of thinking compared to existing schools of thought on statistical inference and encourages you to think carefully about the correct approach to scientific inference.

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