@prefix mdl: <http://data.loterre.fr/ark:/67375/MDL> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .

mdl: a skos:ConceptScheme .
mdl:-WXJS6G4N-M
  skos:prefLabel "martingale"@fr, "martingale"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-XJBNN378-C
  skos:prefLabel "processus d'Ornstein-Uhlenbeck"@fr, "Ornstein-Uhlenbeck process"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-BR6GLFSZ-8
  skos:prefLabel "processus gaussien"@fr, "Gaussian process"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-FM1BJ8PK-T
  skos:prefLabel "équation de Fokker-Planck"@fr, "Fokker-Planck equation"@en ;
  a skos:Concept ;
  skos:related mdl:-RR85CG1F-3 .

mdl:-DQ2NXBK5-P
  skos:prefLabel "processus ponctuel"@fr, "point process"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-TV9J6CWJ-C
  skos:prefLabel "processus de Lévy"@fr, "Lévy process"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-R4ZKNJ3S-T
  skos:prefLabel "autoregressive-moving-average model"@en, "Modèle ARMA"@fr ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-J0H8K2PF-P
  skos:prefLabel "processus de Markov"@fr, "Markov process"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-RTGQ5B6G-Q
  skos:prefLabel "probability theory"@en, "théorie des probabilités"@fr ;
  a skos:Concept ;
  skos:narrower mdl:-RR85CG1F-3 .

mdl:-TGFTNSRJ-5
  skos:prefLabel "mouvement brownien"@fr, "Brownian motion"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-T2MDCD73-4
  skos:prefLabel "processus empirique"@fr, "empirical process"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-DB665DC7-4
  skos:prefLabel "modèle mathématique"@fr, "mathematical model"@en ;
  a skos:Concept ;
  skos:narrower mdl:-RR85CG1F-3 .

mdl:-JR6GHCD2-K
  skos:prefLabel "processus de branchement"@fr, "branching process"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-B7ZQ8GQZ-M
  skos:prefLabel "intégrale stochastique"@fr, "stochastic integral"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-RR85CG1F-3
  skos:inScheme mdl: ;
  skos:narrower mdl:-R4ZKNJ3S-T, mdl:-DQ2NXBK5-P, mdl:-TV9J6CWJ-C, mdl:-RCJGFJ25-4, mdl:-Z0D6LT73-D, mdl:-XJBNN378-C, mdl:-V8G1MBW1-N, mdl:-J0H8K2PF-P, mdl:-H4RBGRWG-C, mdl:-BR6GLFSZ-8, mdl:-T2MDCD73-4, mdl:-WVS2FBJB-V, mdl:-JR6GHCD2-K, mdl:-WXJS6G4N-M, mdl:-TGFTNSRJ-5, mdl:-B7ZQ8GQZ-M ;
  skos:altLabel "stochastic system"@en, "random process"@en, "processus aléatoire"@fr, "système stochastique"@fr ;
  skos:hiddenLabel "processus stochastiques"@fr, "Processus stochastiques"@fr, "Stochastic process"@en, "stochastic processes"@en, "Processus stochastique"@fr, "processus aléatoires"@fr, "systèmes stochastiques"@fr, "stochastic systems"@en, "random processes"@en ;
  a skos:Concept ;
  skos:prefLabel "processus stochastique"@fr, "stochastic process"@en ;
  skos:related mdl:-TGWJKPQG-H, mdl:-FM1BJ8PK-T ;
  skos:broader mdl:-RTGQ5B6G-Q, mdl:-DB665DC7-4 ;
  skos:exactMatch <https://en.wikipedia.org/wiki/Stochastic_process>, <https://fr.wikipedia.org/wiki/Processus_stochastique> ;
  skos:definition "In probability theory and related fields, a stochastic or random process is a mathematical object usually defined as a family of random variables. Stochastic processes are widely used as mathematical models of systems and phenomena that appear to vary in a random manner. Examples include the growth of a bacterial population, an electrical current fluctuating due to thermal noise, or the movement of a gas molecule. Stochastic processes have applications in many disciplines such as biology, chemistry, ecology, neuroscience, physics, image processing, signal processing, control theory, information theory, computer science, cryptography and telecommunications. Furthermore, seemingly random changes in financial markets have motivated the extensive use of stochastic processes in finance. (Wikipedia, The Free Encyclopedia, <a href=\"https://en.wikipedia.org/wiki/Stochastic_process\" target=\"_blank\">https://en.wikipedia.org/wiki/Stochastic_process</a>)"@en, "Un processus stochastique ou processus aléatoire ou fonction aléatoire représente une évolution, discrète ou à temps continu, d'une variable aléatoire. Celle-ci intervient dans le calcul classique des probabilités, où elle mesure chaque résultat possible (ou réalisation) d'une épreuve. (Wikipedia, L'Encylopédie Libre, <a href=\"https://fr.wikipedia.org/wiki/Processus_stochastique\" target=\"_blank\">https://fr.wikipedia.org/wiki/Processus_stochastique</a>)"@fr .

mdl:-RCJGFJ25-4
  skos:prefLabel "stationary process"@en, "processus stationnaire"@fr ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-V8G1MBW1-N
  skos:prefLabel "processus de Wiener"@fr, "Wiener process"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-Z0D6LT73-D
  skos:prefLabel "processus autosimilaire"@fr, "self-similar process"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-WVS2FBJB-V
  skos:prefLabel "équation de Kolmogorov"@fr, "Kolmogorov equation"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-H4RBGRWG-C
  skos:prefLabel "processus ergodique"@fr, "ergodic process"@en ;
  a skos:Concept ;
  skos:broader mdl:-RR85CG1F-3 .

mdl:-TGWJKPQG-H
  skos:prefLabel "modèle statistique"@fr, "statistical model"@en ;
  a skos:Concept ;
  skos:related mdl:-RR85CG1F-3 .