Bayesian Nonparametric Hidden Markov Models with application to the analysis of copy-number-variation in mammalian genomes.

We consider the development of Bayesian Nonparametric methods for product partition models such as Hidden Markov Models and change point models. Our approach uses a Mixture of Dirichlet Process (MDP) model for the unknown sampling distribution (likelihood) for the observations arising in each state...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Yau, C, Papaspiliopoulos, O, Roberts, G, Holmes, C
Format: Journal article
Język:English
Wydane: 2011