Inferential Models
eBook - PDF

Inferential Models

Reasoning with Uncertainty

  1. 276 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Inferential Models

Reasoning with Uncertainty

About this book

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

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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 one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Dedication
  3. Contents
  4. Preface
  5. Chapter 1: Preliminaries
  6. Chapter 2: Prior-Free Probabilistic Inference
  7. Chapter 3: Two Fundamental Principles
  8. Chapter 4: Inferential Models
  9. Chapter 5: Predictive Random Sets
  10. Chapter 6: Conditional Inferential Models
  11. Chapter 7: Marginal Inferential Models
  12. Chapter 8: Normal Linear Models
  13. Chapter 9: Prediction of Future Observations
  14. Chapter 10: Simultaneous Inference on Multiple Assertions
  15. Chapter 11: Generalized Inferential Models
  16. Chapter 12: Future Research Topics
  17. Bibliography
  18. Back Cover