Contents

Preface

Chapter 1

Bayesian Inference and Fuzzy Information

Abstract

I. Introduction

2. Bayesian Inference

3. Modeling Fuzziness

3.1. Fuzzy Numbers

3.2. Fuzzy Vectors

3.3. Fuzzy-Valued Functions

4. Fuzzy A-Priori Densities

5. Fuzzy Data and Fuzzy Distribution

6. Generalized Likelihood Function

7. Generalized Bayes’ Theorem for Fuzzy Data

8. Fuzzy Predictive Distribution

Final Remarks

References

Chapter 2

An Analytic Framework for Optimal Milling Parameter Selection

Abstract

1. Introduction

2. Influence Diagram

2.1. Stability Assessments

2.2. Tool Life Assessments

3. Results

4. Discussion

Conclusion

References

Chapter 3

Sparse Bayesian Methods and Applications: A Comprehensive Overview

Bibliography

Related Nova Publications

Bayesian Coalescent Inference Demonstrates Differences in Evolutionary Dynamics among Norovirus GII Genotypes*

HPV Modelling Goes Bayesian: Inference via Advanced Markov Chain Monte Carlo Methods*

1 Department of Statistical Science, University College London, UK

2 Oxford-Man Institute, Oxford University, Oxford, UK

3 CMIS-group, CSIRO, Australia

4 The Kirby Institute, University of New South Wales, Sydney, Australia

Index

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