Diana Cole

Parameter Redundancy and Identifiability (eBook, ePUB)

• Format: ePub

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 eBooks
• Seitenzahl: 272
• Erscheinungstermin: 10. Mai 2020
• Englisch
• ISBN-13: 9781351646314
• Artikelnr.: 59428340

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