Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
Markov chain |
| gptkbp:acceptanceCriterion |
gptkb:Metropolis_acceptance_rule
|
| gptkbp:developedBy |
gptkb:Edward_Teller
gptkb:Nicholas_Metropolis gptkb:Arianna_W._Rosenbluth gptkb:Augusta_H._Teller gptkb:Marshall_N._Rosenbluth |
| gptkbp:field |
gptkb:machine_learning
computational physics statistics |
| gptkbp:generalizes |
gptkb:Metropolis-Hastings_algorithm
|
| https://www.w3.org/2000/01/rdf-schema#label |
Metropolis algorithm
|
| gptkbp:input |
proposal distribution
target probability distribution |
| gptkbp:namedAfter |
gptkb:Nicholas_Metropolis
|
| gptkbp:output |
sequence of samples
|
| gptkbp:publicationYear |
1953
|
| gptkbp:publishedIn |
gptkb:Journal_of_Chemical_Physics
|
| gptkbp:relatedTo |
gptkb:Simulated_annealing
gptkb:Monte_Carlo_method gptkb:Gibbs_sampling |
| gptkbp:usedFor |
Bayesian inference
statistical physics sampling from probability distributions |
| gptkbp:bfsParent |
gptkb:Nicholas_Metropolis
|
| gptkbp:bfsLayer |
5
|