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Friedli, Lea; Linde, Niklas; Ginsbourger, David; Visentini, Alejandro Fernandez; Doucet, Arnaud (2023). Inference of geostatistical hyperparameters with the correlated pseudo-marginal method. Advances in water ressources, 173, p. 104402. Elsevier 10.1016/j.advwatres.2023.104402
Travelletti, Cédric; Ginsbourger, David; Linde, Niklas (2023). Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors. SIAM/ASA Journal on Uncertainty Quantification, 11(1), pp. 168-198. Society for Industrial and Applied Mathematics 10.1137/21M1445028
Maalouf, Eliane; Ginsbourger, David; Linde, Niklas (2022). Fast ABC with Joint Generative Modelling and Subset Simulation. In: Machine Learning, Optimization, and Data Science. LOD 2021. Lecture Notes in Computer Science: Vol. 13163 (pp. 413-429). Cham: Springer International Publishing 10.1007/978-3-030-95467-3_30
Linde, Niklas; Ginsbourger, David; Irving, James; Nobile, Fabio; Doucet, Arnaud (2017). On uncertainty quantification in hydrogeology and hydrogeophysics. Advances in water ressources, 110, pp. 166-181. Elsevier 10.1016/j.advwatres.2017.10.014
