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Found 4 papers, 1 papers with code
Importance sampling for online variational learning
This article addresses online variational estimation in state-space models.
Auto-encoding GPS data to reveal individual and collective behaviour
For collective behaviour analysis, we build proximity graphs and use an extension of the stochastic block model for multiple networks.
Amortized backward variational inference in nonlinear state-space models
We consider the problem of state estimation in general state-space models using variational inference.
The Langevin diffusion as a continuous-time model of animal movement and habitat selection
Standard approximation techniques can be used to derive the pseudo-likelihood of the Langevin diffusion movement model, and to estimate habitat preference and movement parameters from tracking data.
Applications Methodology
