TY  - BOOK
AU  - Corazza,Marco
AU  - Gannon,Frédéric
AU  - Legros,Florence
AU  - Pizzi,Claudio
AU  - Touzé,Vincent
ED  - SpringerLink (Online service)
TI  - Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF2024 
SN  - 9783031642739
AV  - HG8779-8793 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Actuarial science
KW  - Social sciences
KW  - Mathematics
KW  - Statistics 
KW  - Actuarial Mathematics
KW  - Mathematics in Business, Economics and Finance
KW  - Statistics in Business, Management, Economics, Finance, Insurance
N2  - 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
UR  - https://doi.org/10.1007/978-3-031-64273-9
ER  -