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  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: Stan (software)     Goto   Sponge   NotDistinct   Permalink

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Type: Thinglanguagesoftwareschema:CreativeWorkworkwikidata:Q386724Softwareyago:Abstraction100002137yago:Code106355894yago:CodingSystem106353757yago:Communication100033020yago:Writing106359877yago:WrittenCommunication106349220yago:Software106566077 New Facet based on Instances of this Class

Stan is a probabilistic programming language for statistical inference written in C++. The Stan language is used to specify a (Bayesian) statistical model with an imperative program calculating the log probability density function. Stan is licensed under the New BSD License. Stan is named in honour of Stanislaw Ulam, pioneer of the Monte Carlo method. Stan was created by a development team consisting of 34 members that includes Andrew Gelman, Bob Carpenter, Matt Hoffman, and Daniel Lee.