This volume presents a collection of peer reviewed papers selected from over one hundred and ten presented at the International Conference eMAF2020 – Mathematical and Statistical Methods for Actuarial Sciences and Finance. The cooperation and contamination between mathematicians, statisticians and econometricians working in actuarial sciences and finance is improving the research on these topics and producing numerous meaningful scientific results. This volume is a valuable resource for academics, PhD students, practitioners, professionals and researchers. Moreover, it is also of interest to other readers with quantitative background knowledge.​

Mathematical and Statistical Methods for Actuarial Sciences and Finance. eMAF2020

Marco Corazza;Claudio Pizzi;
2021

Abstract

This volume presents a collection of peer reviewed papers selected from over one hundred and ten presented at the International Conference eMAF2020 – Mathematical and Statistical Methods for Actuarial Sciences and Finance. The cooperation and contamination between mathematicians, statisticians and econometricians working in actuarial sciences and finance is improving the research on these topics and producing numerous meaningful scientific results. This volume is a valuable resource for academics, PhD students, practitioners, professionals and researchers. Moreover, it is also of interest to other readers with quantitative background knowledge.​
File in questo prodotto:
File Dimensione Formato  
2021-eMAF2020-Eds.pdf

non disponibili

Descrizione: Pubblicazione nella versione dell'editore.
Tipologia: Versione dell'editore
Licenza: Accesso chiuso-personale
Dimensione 5.65 MB
Formato Adobe PDF
5.65 MB Adobe PDF   Visualizza/Apri

I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10278/3757014
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact