Please use this identifier to cite or link to this item:
http://cimat.repositorioinstitucional.mx/jspui/handle/1008/257| Hidden Markov Topic Models : Discrete Signal Analysis Using Markov Chain Monte Carlo | |
| Fontove Herrera, Fernando | |
| Acceso Abierto | |
| Sin Derechos Reservados | |
| Markov chain Monte Carlo, MCMC,Topic models, Ergodic averaging, Label switching, Gibbs sampler, Models selection, Signal analysis. | |
| 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 | |
| CIMAT | |
| 2011 | |
| Tesis de maestría | |
| English | |
| Estudiantes | |
| MATEMÁTICAS | |
| Appears in Collections: | Tesis del CIMAT |
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| TE 390.pdf | Tesis | 1.79 MB | Adobe PDF | View/Open |