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

Speech/Talk (Diverse speeches and writings)

SCHILTZ, Jang; Noel, Cédric

2024

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https://hdl.handle.net/10993/63813

2024_1 Athlone.pdf

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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 Yutz

Language :

English

Title :

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

Publication date :

13 May 2024

Event name :

44th Conference on Applied Statistics in Ireland

Event organizer :

Irish Statistical Association

Event place :

Athlone, Ireland

Event date :

13.-16.5.2024

Event number :

Audience :

International

Available on ORBilu :

since 27 January 2025

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