Mathematical and Statistical Methods for Actuarial Sciences and Finance (PDF)
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This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance", held in Paris (France) at the Université Paris-Dauphine from March 30 to April 1, 2016.
The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field, one that yields unique theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest.
This volume is addressed to academicians, researchers, Ph.D. students and professionals.
Prof. Cira Perna is a professor of Statistics and head of the Department of Economics and Statistics, University of Salerno (Italy). Her research work mainly focuses on non-linear time series, artificial neural network models and resampling techniques and she has published numerous papers on these topics in national and international journals. She has been a member of several scientific committees of national and international conferences.
Prof. Marilena Sibillo is a professor of Mathematical Methods for Economics, Finance and Actuarial Sciences at the University of Salerno (Italy). She has several international editing engagements and is the author of over a hundred publications. Her research interests are mainly in longevity risk in life contracts, de-risking strategies, personal pension products and mortality forecasting.
Prof. Florence Legros is currently dean of the ICN Business School and general
- 2017, 1st ed. 2017, 169 Seiten, Englisch
- Herausgegeben: Marco Corazza, Florence Legros, Cira Perna, Marilena Sibillo
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319502344
- ISBN-13: 9783319502342
- Erscheinungsdatum: 28.12.2017
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- Grösse: 2.73 MB
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