en
0.25
0.5
0.75
1.25
1.5
1.75
2
Approximate inference in latent Gaussian-Markov models from continuous time observations
Published on Nov 07, 20141869 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