Skip to main content

Research Repository

Advanced Search

All Outputs (3)

Calibration under Uncertainty Using Bayesian Emulation and History Matching: Methods and Illustration on a Building Energy Model (2024)
Journal Article
Domingo, D., Royapoor, M., Du, H., Boranian, A., Walker, S., & Goldstein, M. (2024). Calibration under Uncertainty Using Bayesian Emulation and History Matching: Methods and Illustration on a Building Energy Model. Energies, 17(16), Article 4014. https://doi.org/10.3390/en17164014

Energy models require accurate calibration to deliver reliable predictions. This study offers statistical guidance for a systematic treatment of uncertainty before and during model calibration. Statistical emulation and history matching are introduce... Read More about Calibration under Uncertainty Using Bayesian Emulation and History Matching: Methods and Illustration on a Building Energy Model.

Using Ice Cores and Gaussian Process Emulation to Recover Changes in the Greenland Ice Sheet During the Last Interglacial (2020)
Journal Article
Domingo, D., Malmierca‐Vallet, I., Sime, L., Voss, J., & Capron, E. (2020). Using Ice Cores and Gaussian Process Emulation to Recover Changes in the Greenland Ice Sheet During the Last Interglacial. Journal of Geophysical Research: Earth Surface, 125(5), Article e2019JF005237. https://doi.org/10.1029/2019jf005237

The shape and extent of the Greenland Ice Sheet (GIS) during the Last Interglacial (LIG) is a matter of controversy, with different studies proposing a wide range of reconstructions. Here, for the first time, we combine stable water isotopic informat... Read More about Using Ice Cores and Gaussian Process Emulation to Recover Changes in the Greenland Ice Sheet During the Last Interglacial.

Properties of bounded stochastic processes employed in biophysics (2019)
Journal Article
Domingo, D., d’Onofrio, A., & Flandoli, F. (2020). Properties of bounded stochastic processes employed in biophysics. Stochastic Analysis and Applications, 38(2), 277-306. https://doi.org/10.1080/07362994.2019.1694416

Realistic stochastic modeling is increasingly requiring the use of bounded noises. In this work, properties and relationships of commonly employed bounded stochastic processes are investigated within a solid mathematical ground. Four families are obj... Read More about Properties of bounded stochastic processes employed in biophysics.