Overview
- Presents cooperation and contamination between mathematicians and statisticians working in actuarial sciences
- Gives concise and agile presentation of research results in short articles
- Covers a wide range of subjects, from classical topics to the latest technology-based ones
Included in the following conference series:
Conference proceedings info: MAF 2024.
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About this book
The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance – MAF2024. The year 2024 marks the twentieth anniversary of the first edition of this conference.
The idea behind this book is that collaboration and cross-pollination between mathematicians and statisticians working in actuarial sciences and finance could enhance research in these fields. The effectiveness of this concept has been demonstrated by widespread participation across all editions, held at various locations including the University of Salerno, Italy (2004, 2006, 2010, 2014, and 2022); Ca' Foscari University of Venice, Italy (2008, 2012, and 2020); University Paris-Dauphine in Paris, France (2016); University Carlos III of Madrid, Madrid (2018); and University of Le Havre Normandie, Le Havre, France (2024). This effectiveness is also evident in the attention consistently shown by both the scientific community and professionals toward the volumes of peer-reviewed papers accompanying all past editions of MAF.
The book is a valuable resource for academics, researchers, Ph.D. students, and professionals. Furthermore, it is also of interest to other readers with a quantitative background.
Keywords
Table of contents (49 papers)
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Front Matter
Other volumes
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Mathematical and Statistical Methods for Actuarial Sciences and Finance
Editors and Affiliations
About the editors
Marco Corazza is graduated with honors in “Economics and Business” and obtained the Ph.D. in “Mathematics for the Analysis of Financial Markets.” Currently, he is an associate professor at the Department of Economics at the Ca 'Foscari University of Venice. His main research interests are quantitative finance, artificial intelligence and machine learning for economics and finance, bio-inspired computational methodologies for optimization, and multicriteria methods for decision support. He participated in national and international research projects. The results of his research appeared in more than one hundred and fifty publications of national and international relevance. Parallel to academic activity, it carries out consultancy activities.
Bibliographic Information
Book Title: Mathematical and Statistical Methods for Actuarial Sciences and Finance
Book Subtitle: MAF2024
Editors: Marco Corazza, Frédéric Gannon, Florence Legros, Claudio Pizzi, Vincent Touzé
DOI: https://doi.org/10.1007/978-3-031-64273-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-64272-2Published: 02 August 2024
Softcover ISBN: 978-3-031-64275-3Due: 16 August 2025
eBook ISBN: 978-3-031-64273-9Published: 01 August 2024
Edition Number: 1
Number of Pages: XI, 304
Number of Illustrations: 20 b/w illustrations, 34 illustrations in colour
Topics: Applications of Mathematics, Statistics for Business, Management, Economics, Finance, Insurance