Sequential Monte Carlo method
GPTKB entity
Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
|
| gptkbp:alsoKnownAs |
particle filter
|
| gptkbp:appliesTo |
dynamical systems
time series analysis |
| gptkbp:component |
weights
particles |
| gptkbp:developedBy |
1990s
|
| gptkbp:field |
gptkb:machine_learning
gptkb:signal_processing control theory statistics |
| https://www.w3.org/2000/01/rdf-schema#label |
Sequential Monte Carlo method
|
| gptkbp:notableFor |
gptkb:navigation
robotics econometrics object tracking |
| gptkbp:relatedTo |
gptkb:Kalman_filter
gptkb:Hidden_Markov_model gptkb:Markov_chain_Monte_Carlo |
| gptkbp:step |
prediction
resampling update |
| gptkbp:usedFor |
Bayesian inference
state estimation nonlinear filtering |
| gptkbp:bfsParent |
gptkb:Particle_filter
|
| gptkbp:bfsLayer |
5
|