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Approximate inference in latent Gaussian-Markov models from continuous time observations
Published on 2014-11-071872 Views
We propose an approximate inference algorithm for continuous time Gaussian-Markov process models with both discrete and continuous time likelihoods. We show that the continuous time limit of the expec
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Presentation
Approximate inference in latent Gaussian-Markov models from continuous time observations00:00
Models and inference00:19
Inference in a (soft) box00:58
Neural spike train data02:03