Book contents
- Frontmatter
- Contents
- Preface
- PART I INTRODUCTION
- PART II ASSIGNING PROBABILITIES
- PART III PARAMETER ESTIMATION
- PART IV TESTING HYPOTHESES
- PART V REAL-WORLD APPLICATIONS
- 21 Regression
- 22 Consistent inference on inconsistent data
- 23 Unrecognized signal contributions
- 24 Change point problems
- 25 Function estimation
- 26 Integral equations
- 27 Model selection
- 28 Bayesian experimental design
- PART VI PROBABILISTIC NUMERICAL TECHNIQUES
- Appendix A Mathematical compendium
- Appendix B Selected proofs and derivations
- Appendix C Symbols and notation
- References
- Index
23 - Unrecognized signal contributions
from PART V - REAL-WORLD APPLICATIONS
Published online by Cambridge University Press: 05 July 2014
Book contents
- Frontmatter
- Contents
- Preface
- PART I INTRODUCTION
- PART II ASSIGNING PROBABILITIES
- PART III PARAMETER ESTIMATION
- PART IV TESTING HYPOTHESES
- PART V REAL-WORLD APPLICATIONS
- 21 Regression
- 22 Consistent inference on inconsistent data
- 23 Unrecognized signal contributions
- 24 Change point problems
- 25 Function estimation
- 26 Integral equations
- 27 Model selection
- 28 Bayesian experimental design
- PART VI PROBABILISTIC NUMERICAL TECHNIQUES
- Appendix A Mathematical compendium
- Appendix B Selected proofs and derivations
- Appendix C Symbols and notation
- References
- Index
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- Information
- Bayesian Probability TheoryApplications in the Physical Sciences, pp. 396 - 408Publisher: Cambridge University PressPrint publication year: 2014