Bayesian inference in aggregated hidden Markov models

Bayesian inference in aggregated hidden Markov models

Single molecule experiments study the kinetics of molecular biological systems. Many such studies generate data that can be described by aggregated hidden Markov models, whereby there is a need of doing inference on such data and models. In this study, model selection in aggregated Hidden Markov mod...

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Bibliographic Details
Main Author: Marklund, Emil
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för biologisk grundutbildning 2015
Subjects:
Bayesian inference
aggregated hidden Markov models
model selection
variational Bayes
nested sampling
single molecule data
Biophysics
Biofysik
Other Computer and Information Science
Annan data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-243090

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-243090

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