Approximate inference in latent Gaussian-Markov models from continuous time observations thumbnail
slide-image
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Approximate inference in latent Gaussian-Markov models from continuous time observations

Published on Nov 07, 20141866 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

Related categories

Chapter list

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