Codes for "Rao-Blackwellized particle smoothing for simultaneous localization and mapping"
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Updated
May 31, 2024 - MATLAB
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.
Sequential Monte Carlo methods (particle filtering/smoothing) for a toy problem
Learning resources for users of the `patter` R package
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.
Particle filters, smoothers and sampling algorithms for animal movement modelling, with a focus on passive acoustic telemetry systems.
Replication files for Mertens and Nason (QE, 2020)
A fork of Futia et al. (2024), extended with the patter algorithms
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