Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF2024 /

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 ide...

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Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: Corazza, Marco (Argitaratzailea), Gannon, Frédéric (Argitaratzailea), Legros, Florence (Argitaratzailea), Pizzi, Claudio (Argitaratzailea), Touzé, Vincent (Argitaratzailea)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edizioa:1st ed. 2024.
Gaiak:
Sarrera elektronikoa:https://doi.org/10.1007/978-3-031-64273-9
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245 1 0 |a Mathematical and Statistical Methods for Actuarial Sciences and Finance  |h [electronic resource] :  |b MAF2024 /  |c edited by Marco Corazza, Frédéric Gannon, Florence Legros, Claudio Pizzi, Vincent Touzé. 
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520 |a 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. 
650 0 |a Actuarial science. 
650 0 |a Social sciences  |x Mathematics. 
650 0 |a Statistics . 
650 1 4 |a Actuarial Mathematics. 
650 2 4 |a Mathematics in Business, Economics and Finance. 
650 2 4 |a Statistics in Business, Management, Economics, Finance, Insurance. 
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700 1 |a Gannon, Frédéric.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Legros, Florence.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Pizzi, Claudio.  |e editor.  |0 (orcid)0000-0002-6245-6332  |1 https://orcid.org/0000-0002-6245-6332  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Touzé, Vincent.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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