Name: Mathematical and Statistical Methods for Actuarial Sciences and Finance: Maf2024 (en Inglés)
SKU: 62353881
Price: 200.40 USD
Availability: InStock
Author: Corazza Marco,Gannon Frédéric,Legros Florence

portada Mathematical and Statistical Methods for Actuarial Sciences and Finance: Maf2024 (en Inglés)

Mathematical and Statistical Methods for Actuarial Sciences and Finance: Maf2024 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Corazza Marco,Gannon Frédéric,Legros Florence

Idioma

Inglés

N° páginas

315

Encuadernación

Tapa Dura

ISBN13

9783031642722

N° edición

2024th

Mathematical and Statistical Methods for Actuarial Sciences and Finance: Maf2024 (en Inglés)

Corazza Marco,Gannon Frédéric,Legros Florence (Autor) · Springer · Tapa Dura

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Reseña del libro "Mathematical and Statistical Methods for Actuarial Sciences and Finance: Maf2024 (en Inglés)"

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.