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Human Data Science (HDS) | 22/03/2018 - Hidden Markov Models

Human Data Science (HDS)

Human Data Science (HDS)

Colloquium

Posted on 19/03/2018 by Human Data Science
in: Categories: Colloquium.

22/03/2018 – Hidden Markov Models

Emmeke explaining the model in her graph

Here you can find the slides of Emmeke’s talk

 

Original announcement:

Thursday 22/03/2018 at 15:00 in room B1.09

In this meeting, Emmeke will introduce us to Hidden Markov Models.

hmmstates

The HMM is a very flexible model and as such is applicable to a wide variety of longitudinally collected data. For example, one can extract student behaviour states from MOOC data and investigate the composition of the different learning states, and the transitions between the different learning states. Or one can extract sleep states based on EEG measurements, and subsequently compare the duration of, and transitions between, different sleep states for patients which do and do not suffer from insomnia.

hmm

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