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Communication Dans Un Congrès Année : 2023

Hug model: parameter estimation via the ABC Shadow algorithm

Résumé

Studying geological fluids mixing systems allows to understand interaction among water sources. The Hug model is an interaction point process model that can be used to estimate the number and the chemical composition of the water sources involved in a geological fluids mixing system from the chemical composition of samples Reype (2022); Reype et al. (2020, 2022). The source detection using the Hug model needs prior knowledge for the model parameters. The present work shows how the parameter estimation method known as the ABC Shadow algorithm Stoica et al. (2021, 2017) can be used in order to construct priors for the parameters of the Hug model. The long term perspective of this work is to integrate geological expertise within fully unsupervised models.
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Dates et versions

hal-04163654 , version 1 (20-07-2023)

Identifiants

Citer

Christophe Reype, Radu S. Stoica, Didier Gemmerlé, Antonin Richard, Madalina Deaconu. Hug model: parameter estimation via the ABC Shadow algorithm. RING Meeting, Ecole Nationale Supérieure Géologie Nancy, Sep 2023, Nancy, France. ⟨10.48550/arXiv.2308.04441⟩. ⟨hal-04163654⟩
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