S. Demeyer

发表

Best practice guide to uncertainty evaluation for computationally expensive models

M. Bär, A. Allard, Elena Barton, 2015 .

Good practice in evaluating measurement uncertainty

J. A. Sousa, M. Cox, C. Elster, 2020 .

New approaches for interlaboratory comparisons analysis using dark uncertainty applied to radioactive materials

S. Demeyer, M. Crozet, C. Rivier, 2022, Talanta.

A data mining approach for indoor air assessment, an alternative tool for cultural heritage conservation

Serge Demeyer, Willemien Anaf, Olivier Schalm, 2018, IOP Conference Series: Materials Science and Engineering.

Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction

E. Vázquez, J. Bect, N. Fischer, 2020, Technometrics.

Integrating hyper-parameter uncertainties in a multi-fidelity Bayesian model for the estimation of a probability of failure

Nicolas Fischer, Julien Bect, R'emi Stroh, 2017, Series on Advances in Mathematics for Applied Sciences.

Sequential design of experiments to estimate a probability of exceeding a threshold in a multi-fidelity stochastic simulator

Julien Bect, R'emi Stroh, S'everine Demeyer, 2017, 1707.08384.

A Bayesian framework to update scaling factors for radioactive waste characterization.

E. Ronchetti, G. Saporta, S. Demeyer, 2020, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

Surrogate model based sequential sampling estimation of conformance probability for computationally expensive systems: application to fire safety science

Séverine Demeyer, Nicolas Fischer, Damien Marquis, 2017 .

Bayesian uncertainty analysis of inversion models applied to the inference of thermal properties of walls

Nicolas Fischer, Julien Waeytens, Séverine Demeyer, 2021 .

Uncertainty calculation methodologies in microflow measurements: Comparison of GUM, GUM-S1 and Bayesian approach

Elsa Batista, J. A. Sousa, S. Demeyer, 2021, Measurement : journal of the International Measurement Confederation.

Guidance on Bayesian uncertainty evaluation for a class of GUM measurement models

Séverine Demeyer, Nicolas Fischer, Clemens Elster, 2021, Metrologia.

Assessing fire safety using complex numerical models with a Bayesian multi-fidelity approach

Julien Bect, Séverine Demeyer, Nicolas Fischer, 2017 .

Quantitative Measurement of Thermal Conductivity by SThM Technique: Measurements, Calibration Protocols and Uncertainty Evaluation

A. Allard, S. Demeyer, B. Hay, 2023, Nanomaterials.