sequential Monte Carlo methods
GPTKB entity
Statements (34)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
|
| gptkbp:alsoKnownAs |
particle filters
|
| gptkbp:basedOn |
importance sampling
resampling |
| gptkbp:category |
Bayesian statistics
probabilistic algorithms |
| gptkbp:developedBy |
1990s
|
| gptkbp:handles |
nonlinear systems
non-Gaussian noise |
| https://www.w3.org/2000/01/rdf-schema#label |
sequential Monte Carlo methods
|
| gptkbp:notableContributor |
gptkb:Arnaud_Doucet
gptkb:Neil_Gordon gptkb:Nando_de_Freitas |
| gptkbp:output |
state estimates
weighted particles |
| gptkbp:relatedTo |
gptkb:Kalman_filter
gptkb:hidden_Markov_models gptkb:Markov_chain_Monte_Carlo |
| gptkbp:step |
resampling
propagation weighting |
| gptkbp:supportsAlgorithm |
gptkb:algorithm
sequential algorithm |
| gptkbp:usedFor |
Bayesian inference
state estimation filtering in dynamic systems |
| gptkbp:usedIn |
gptkb:signal_processing
computer vision robotics econometrics |
| gptkbp:bfsParent |
gptkb:Bootstrap_filter
gptkb:Rao-Blackwellized_particle_filter gptkb:Unscented_particle_filter |
| gptkbp:bfsLayer |
6
|