Generalized polya urn for time-varying dirichlet process mixtures
Dirichlet Process Mixtures (DPMs) are a popular class of statistical models to perform density estimation and clustering. However, when the data available have a distribution evolving over time, such models are inadequate. We introduce here a class of time-varying DPMs which ensures that at each tim...
ver descrição completa
Detalhes bibliográficos
Principais autores: |
Caron, F,
Davy, M,
Doucet, A |
Formato: | Journal article
|
Idioma: | English |
Publicado em: |
2007
|