Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Markov chain
|
| gptkbp:abbreviation |
gptkb:NUTS
|
| gptkbp:designedFor |
Bayesian inference
|
| gptkbp:extendsTo |
gptkb:Hamiltonian_Monte_Carlo
|
| gptkbp:feature |
adaptive path length
eliminates need to set trajectory length |
| gptkbp:field |
gptkb:machine_learning
statistics computational statistics |
| https://www.w3.org/2000/01/rdf-schema#label |
No-U-Turn Sampler
|
| gptkbp:introduced |
gptkb:Andrew_Gelman
Matthew D. Hoffman |
| gptkbp:introducedIn |
2011
|
| gptkbp:publicationYear |
2014
|
| gptkbp:publishedIn |
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
|
| gptkbp:relatedTo |
gptkb:Metropolis-Hastings_algorithm
gptkb:Gibbs_sampling |
| gptkbp:solvedBy |
efficient sampling from posterior distributions
|
| gptkbp:usedIn |
gptkb:PyMC
gptkb:TensorFlow_Probability gptkb:Stan |
| gptkbp:bfsParent |
gptkb:Hamiltonian_Monte_Carlo
|
| gptkbp:bfsLayer |
6
|