Name: Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF2024
SKU: 64791878
Price: 147.87 USD
Availability: InStock
Author: Claudio Pizzi;Vincent Touze;Marco Corazza;Frederic Gannon;Florence Legros

portada Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF2024

Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF2024

Formato

Libro Físico

Editorial

Springer International Publishing AG

Autor

Claudio Pizzi;Vincent Touze;Marco Corazza;Frederic Gannon;Florence Legros

Año

2025

N° páginas

304

Encuadernación

Tapa Blanda

Dimensiones

23.5x15.5 cm

ISBN13

9783031642753

Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF2024

Claudio Pizzi;Vincent Touze;Marco Corazza;Frederic Gannon;Florence Legros (Autor) · Springer International Publishing AG · Tapa Blanda

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Reseña del libro "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 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.