Hidden Markov Topic Models : Discrete Signal Analysis Using Markov Chain Monte Carlo

Fontove Herrera, Fernando

info:eu-repo/semantics/masterThesis

Registro en:

http://cimat.repositorioinstitucional.mx/jspui/handle/1008/257

https://repositorioslatinoamericanos.uchile.cl/handle/2250/7728828

Autor

Fontove Herrera, Fernando

Institución

Centro de Investigación en Matemáticas (México)

Resumen

The aim of the work is to analize discrete EEG signals. For that purpose, topic models with underlying Markov chain structure are used. The models are implemented using Markov chain Monte Carlo simulation (MCMC) and several tools for the posterior analy

Materias

info:eu-repo/classification/MSC/Markov chain Monte Carlo, MCMC,Topic models, Ergodic averaging, Label switching, Gibbs sampler, Models selection, Signal analysis.

info:eu-repo/classification/cti/1

info:eu-repo/classification/cti/12

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