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Mathematical and statistical methods for actuarial sciences and financeMAF2024 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical and statistical methods for actuarial sciences and financeedited by Marco Corazza ... [et al.].
其他題名:	MAF2024 /
其他題名:	MAF2024
其他作者:	Corazza, Marco.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	xi, 304 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	InsuranceCongresses.Mathematical models
電子資源:	https://doi.org/10.1007/978-3-031-64273-9
ISBN:	9783031642739$q(electronic bk.)

Mathematical and statistical methods for actuarial sciences and financeMAF2024 /
Mathematical and statistical methods for actuarial sciences and financeMAF2024 /[electronic resource] :MAF2024edited by Marco Corazza ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xi, 304 p. :ill., digital ;24 cm.

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.

ISBN: 9783031642739$q(electronic bk.)

Standard No.: 10.1007/978-3-031-64273-9doiSubjects--Topical Terms:

515478
Insurance
--Mathematical models--Congresses.

LC Class. No.: HG8017 / .M34 2024

Dewey Class. No.: 368.01

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