Web projektu DAR

Research Centre
Data - Algorithms - Decision Making

Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

Bayesian estimation of dynamic finite mixtures

Typ:

Jornal article

Authors:

Nagy I., Suzdaleva E., Kárný M., Mlynářová T.

Name of journal:

International Journal of Adaptive Control and Signal Proces

Volume:

Year:

2011

Number:

9 (2011)

Pages:

765-787

ISSN:

0890-6327

Contact:

Ing. Evgenia Suzdaleva, Ph.D. (ÚTIA - Oddělení adaptivních systémů)

Keywords:

mixture model, Bayesian estimation, clustering

Anotation:

The paper introduces an algorithm for estimation of dynamic mixture models. A new feature of the proposed algorithm is the ability to consider a dynamic form not only for component models but also for the pointer model, which describes the activities of the mixture components in time.