Stan

E898984
Bayesian modeling framework probabilistic programming language software platform

Stan is a probabilistic programming language and platform widely used for Bayesian statistical modeling and inference, particularly via methods like Hamiltonian Monte Carlo.

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Statements (54)

Predicate Object
instanceOf Bayesian modeling framework ⓘ
probabilistic programming language ⓘ
software platform ⓘ
designedFor Bayesian data analysis NERFINISHED ⓘ
applied statistics ⓘ
machine learning ⓘ
statistical modeling ⓘ
hasComponent CmdStan NERFINISHED ⓘ
CmdStanPy NERFINISHED ⓘ
CmdStanR NERFINISHED ⓘ
PyStan NERFINISHED ⓘ
RStan NERFINISHED ⓘ
Stan C++ inference engine NERFINISHED ⓘ
Stan modeling language NERFINISHED ⓘ
hasDocumentation Stan Functions Reference NERFINISHED ⓘ
Stan Reference Manual NERFINISHED ⓘ
Stan User’s Guide NERFINISHED ⓘ
hasFullName Stan probabilistic programming language NERFINISHED ⓘ
hasInterfaceLanguage Julia NERFINISHED ⓘ
MATLAB NERFINISHED ⓘ
Python NERFINISHED ⓘ
R ⓘ
Stata NERFINISHED ⓘ
hasWebsite https://mc-stan.org ⓘ
implementedInLanguage C++ NERFINISHED ⓘ
isOpenSource true ⓘ
license BSD license NERFINISHED ⓘ
maintainedBy Stan Development Team NERFINISHED ⓘ
primaryInferenceMethod Hamiltonian Monte Carlo GENERATED ⓘ
No-U-Turn Sampler GENERATED ⓘ
supportsComputation automatic differentiation ⓘ
gradient-based MCMC ⓘ
supportsMethod Markov chain Monte Carlo NERFINISHED ⓘ
optimization-based inference ⓘ
variational inference ⓘ
supportsModelType generalized linear models ⓘ
hierarchical models ⓘ
multilevel models ⓘ
nonlinear models ⓘ
state-space models ⓘ
time-series models ⓘ
supportsParadigm Bayesian inference ⓘ
Bayesian statistical modeling ⓘ
probabilistic programming ⓘ
usedFor parameter estimation ⓘ
predictive modeling ⓘ
uncertainty quantification ⓘ
usedInField biostatistics ⓘ
ecology ⓘ
econometrics ⓘ
epidemiology ⓘ
social sciences ⓘ
statistics ⓘ
usesAlgorithm leapfrog integrator ⓘ

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Stan Lynch → givenName → Stan ⓘ
Hamiltonian Monte Carlo → implementedIn → Stan ⓘ