03700nam a22005535i 4500 978-3-031-64273-9 DE-He213 20251030112704.0 cr nn 008mamaa 240801s2024 sz | s |||| 0|eng d 9783031642739 978-3-031-64273-9 10.1007/978-3-031-64273-9 doi HG8779-8793 KFFN bicssc MAT003000 bisacsh KFFN thema Mathematical and Statistical Methods for Actuarial Sciences and Finance [electronic resource] : MAF2024 / edited by Marco Corazza, Frédéric Gannon, Florence Legros, Claudio Pizzi, Vincent Touzé. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 304 p. 54 illus., 34 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. Actuarial science. 76718 Social sciences Mathematics. 69736 Statistics . 65982 Actuarial Mathematics. 76719 Mathematics in Business, Economics and Finance. 69739 Statistics in Business, Management, Economics, Finance, Insurance. 69738 Corazza, Marco. editor. edt http://id.loc.gov/vocabulary/relators/edt 81707 Gannon, Frédéric. editor. edt http://id.loc.gov/vocabulary/relators/edt 81708 Legros, Florence. editor. edt http://id.loc.gov/vocabulary/relators/edt 81709 Pizzi, Claudio. editor. edt http://id.loc.gov/vocabulary/relators/edt 81710 Touzé, Vincent. editor. edt http://id.loc.gov/vocabulary/relators/edt 81711 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031642722 Printed edition: 9783031642746 Printed edition: 9783031642753 https://doi.org/10.1007/978-3-031-64273-9 ZDB-2-SMA ZDB-2-SXMS 62131 62131