Bayesian Methods in Insurance and Actuarial Science
Crc Press Inc (Verlag)
978-1-4665-1061-6 (ISBN)
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Yanwei Zhang is the Director of Statistical Research for CNA Insurance Company in Chicago, USA. Vanja Dukic is an Associate Professor of Applied Mathematics at the University of Colorado-Boulder, USA. James Guszcza is an Associate Professor of Actuarial Science, Risk Management, and Insurance at the University of Wisconsin-Madison, USA.
INTRODUCTION TO CURRENT PRACTICE Actuarial Background and Introduction to Insurance Traditional Models for Insurance Reserving and Pricing Case studies: Generalized Linear Models in Insurance Hierarchical Linear Models with Insurance Applications BAYESIAN LINEAR AND GENERALIZED LINEAR MODELS Introduction to Bayesian Statistics Inference in Bayesian Linear Models Introduction to Bayesian Computing: Markov Chain Monte Carlo Case Studies: Bayesian Generalized Linear Models in Insurance ADVANCED BAYESIAN METHODS AND CASE STUDIES Bayesian Semi-parametric Models Bayesian Non-Linear Models Bayesian Copula Models MODEL SELECTION AND AVERAGING Model Selection Strategies Bayesian Model Averaging Case Study: When to Select and When to Average Your Models Appendix Appendix W: Introduction to WinBUGS Appendix R: Introduction to R Appendix C: Code
Erscheint lt. Verlag | 5.11.2013 |
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Reihe/Serie | Chapman & Hall/CRC Financial Mathematics Series |
Zusatzinfo | 50 black & white illustrations |
Verlagsort | Bosa Roca |
Sprache | englisch |
Maße | 156 x 235 mm |
Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
Betriebswirtschaft / Management ► Spezielle Betriebswirtschaftslehre ► Versicherungsbetriebslehre | |
ISBN-10 | 1-4665-1061-7 / 1466510617 |
ISBN-13 | 978-1-4665-1061-6 / 9781466510616 |
Zustand | Neuware |
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