Finite Mixture Models for an underlying Beta distribution with an application to COVID-19 data

SCHILTZ, Jang; Noel, Cédric

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Finite Mixture Models for an underlying Beta distribution with an application to COVID-19 data

SCHILTZ, Jang; Noel, Cédric

2024 • 12th World Congress of the Bachelier Finance Society

Peer reviewed

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https://hdl.handle.net/10993/63814

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Disciplines :

Quantitative methods in economics & management

Author, co-author :

SCHILTZ, Jang ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Finance (DF)

Noel, Cédric; UL - University of Lorraine > IUT de Yutz

External co-authors :

yes

Language :

English

Title :

Finite Mixture Models for an underlying Beta distribution with an application to COVID-19 data

Publication date :

10 July 2024

Event name :

12th World Congress of the Bachelier Finance Society

Event organizer :

Bachelier Finance Society

Event place :

Rio de Janeiro, Brazil

Event date :

July 8.-12., 2024

Audience :

International

Peer reviewed :

Peer reviewed

Available on ORBilu :

since 27 January 2025

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