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ORCIDDaniel B. Williamson
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- affiliation: University of Exeter, UK
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2020 – today
- 2023
[j5]Deyu Ming
, Daniel B. Williamson, Serge Guillas:
Deep Gaussian Process Emulation using Stochastic Imputation. Technometrics 65(2): 150-161 (2023)- [i3]Deyu Ming, Daniel B. Williamson:
Linked Deep Gaussian Process Emulation for Model Networks. CoRR abs/2306.01212 (2023) - [i2]Cassandra Bird, Daniel B. Williamson, Sabina Leonelli:
On the meaning of uncertainty for ethical AI: philosophy and practice. CoRR abs/2309.05529 (2023) - 2022
- [j4]Hossein Mohammadi, Peter G. Challenor, Daniel B. Williamson, Marc Goodfellow:
Cross-Validation-based Adaptive Sampling for Gaussian Process Models. SIAM/ASA J. Uncertain. Quantification 10(1): 294-316 (2022) - [j3]James M. Salter, Daniel B. Williamson, Lauren J. Gregoire, Tamsin L. Edwards:
Quantifying Spatio-Temporal Boundary Condition Uncertainty for the North American Deglaciation. SIAM/ASA J. Uncertain. Quantification 10(2): 717-744 (2022) - 2021
- [i1]Deyu Ming, Daniel B. Williamson, Serge Guillas:
Deep Gaussian Process Emulation using Stochastic Imputation. CoRR abs/2107.01590 (2021) - 2020
- [j2]Victoria Volodina, Daniel B. Williamson:
Diagnostics-Driven Nonstationary Emulators Using Kernel Mixtures. SIAM/ASA J. Uncertain. Quantification 8(1): 1-26 (2020)
2010 – 2019
- 2014
- [j1]Daniel B. Williamson, Adam T. Blaker:
Evolving Bayesian Emulators for Structured Chaotic Time Series, with Application to Large Climate Models. SIAM/ASA J. Uncertain. Quantification 2(1): 1-28 (2014) - 2010
- [b1]Daniel B. Williamson:
Policy making using computer simulators for complex physical systems : Bayesian decision support for the development of adaptive strategies. Durham University, UK, 2010
Coauthor Index
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