Sequential Monte Carlo methods (particle filtering/smoothing) for a toy problem
-
Updated
Jun 17, 2014 - Mercury
Sequential Monte Carlo methods (particle filtering/smoothing) for a toy problem
Codes for "Rao-Blackwellized particle smoothing for simultaneous localization and mapping"
Particle filters, smoothers and sampling algorithms for animal movement modelling, with a focus on passive acoustic telemetry systems.
Particle Metropolis-Hastings using gradient and Hessian information
R code supporting Lavender et al. (in prep). patter: particle algorithms for animal tracking in R and Julia.
Replication files for Mertens and Nason (QE, 2020)
Particle filters, smoothers and sampling algorithms for animal movement modelling, with a focus on passive acoustic telemetry systems.
Add a description, image, and links to the particle-smoother topic page so that developers can more easily learn about it.
To associate your repository with the particle-smoother topic, visit your repo's landing page and select "manage topics."