Diana Cole

Parameter Redundancy and Identifiability (eBook, PDF)

• Format: PDF

Produktbeschreibung

Statistical and mathematical models are defined by parameters that describe different characteristics of those models. This book explains why parameter redundancy and non-identifiability is a problem and the different methods that can be used for detection, including in a Bayesian context.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 272
• Erscheinungstermin: 10. Mai 2020
• Englisch
• ISBN-13: 9781498720908
• Artikelnr.: 59426624

Autorenporträt

Diana Cole is a Senior Lecturer in Statistics at the University of Kent. She has written and co-authored 15 papers on parameter redundancy and identifiability, including general theory and ecological applications.

Inhaltsangabe

1. Introduction
2. Problems With Parameter Redundancy
3. Parameter Redundancy and Identifiability Definitions and Theory
4. Practical General Methods for Detecting Parameter Redundancy and
Identifiability
5. Detecting Parameter Redundancy and Identifiability in Complex Models
6. Bayesian Identifiability
7. Identifiability in Continuous State-Space Models
8. Identifiability in Discrete State-Space Models
9. Detecting Parameter Redundancy in Ecological Models
10. Concluding Remarks
Appendix A. Maple Code
Appendix B. Winbugs and R Code