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Bayesian statistical analysis of hydrogeochemical data using point processes: a new tool for source detection in multicomponent fluid mixtures
Author(s) -
Christophe Reype,
Antonin Richard,
Mâdâlina Deaconu,
Radu S. Stoica
Publication year - 2020
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - compositional data , mixing (physics) , geothermal gradient , bayesian probability , computer science , data set , point (geometry) , dimension (graph theory) , point source , data mining , geology , geophysics , mathematics , physics , machine learning , geometry , artificial intelligence , quantum mechanics , pure mathematics , optics

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