Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Markov chain
|
| gptkbp:application |
gptkb:Bayesian_networks
spatial statistics image processing topic modeling |
| gptkbp:convergesTo |
target joint distribution
|
| https://www.w3.org/2000/01/rdf-schema#label |
Gibbs sampler
|
| gptkbp:introducedIn |
1984
|
| gptkbp:limitation |
slow mixing for highly correlated variables
|
| gptkbp:namedAfter |
gptkb:Josiah_Willard_Gibbs
|
| gptkbp:relatedTo |
gptkb:Metropolis-Hastings_algorithm
Markov chain conditional probability |
| gptkbp:step |
sample each variable from its conditional distribution
|
| gptkbp:supportsAlgorithm |
iterative
stochastic |
| gptkbp:usedFor |
sampling from multivariate probability distributions
|
| gptkbp:usedIn |
gptkb:machine_learning
Bayesian statistics computational physics statistical inference |
| gptkbp:bfsParent |
gptkb:Donald_Geman
gptkb:Stuart_Geman |
| gptkbp:bfsLayer |
7
|