@prefix n9j: <http://data.loterre.fr/ark:/67375/N9J> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix isothes: <http://purl.org/iso25964/skos-thes#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .

n9j:-HTZGLLK6-3
  skos:prefLabel "other techniques, theories, and tools"@en ;
  a skos:Concept ;
  skos:narrower n9j:-T39T6VNR-8 .

n9j:-methods
  a isothes:ConceptGroup ;
  skos:prefLabel "methods"@en ;
  skos:member n9j:-T39T6VNR-8 .

n9j: a skos:ConceptScheme .
n9j:-T39T6VNR-8
  owl:sameAs <https://concepts.sagepub.com/social-science/concept/Bayesian_networks> ;
  skos:definition "A Bayesian network is a graphical representation of a multivariate probability distribution on a set of discrete random variables. Representational efficiency is achieved by explicit separation of information about conditional independence relations between the variables (coded in the network structure) and information about the probabilities involved (coded as a set of numeric parameters or functions). [Source: Encyclopedia of Medical Decision Making; Bayesian Networks]"@en ;
  a skos:Concept ;
  skos:inScheme n9j: ;
  skos:broader n9j:-HTZGLLK6-3, n9j:-Q78M8VWZ-3 ;
  skos:prefLabel "Bayesian networks"@en .

n9j:-Q78M8VWZ-3
  skos:prefLabel "biostatistics and clinical epidemiology"@en ;
  a skos:Concept ;
  skos:narrower n9j:-T39T6VNR-8 .

