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
- 274 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
Information
Table of contents
- Cover
- Dedication
- Contents
- Preface
- Chapter 1: Preliminaries
- Chapter 2: Prior-Free Probabilistic Inference
- Chapter 3: Two Fundamental Principles
- Chapter 4: Inferential Models
- Chapter 5: Predictive Random Sets
- Chapter 6: Conditional Inferential Models
- Chapter 7: Marginal Inferential Models
- Chapter 8: Normal Linear Models
- Chapter 9: Prediction of Future Observations
- Chapter 10: Simultaneous Inference on Multiple Assertions
- Chapter 11: Generalized Inferential Models
- Chapter 12: Future Research Topics
- Bibliography
- Back Cover
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Yes, you can access Inferential Models by Ryan Martin,Chuanhai Liu in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over 1.5 million books available in our catalogue for you to explore.