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Daniel B. Williamson

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affiliation: University of Exeter, UK

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Books and Theses

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2010
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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

Journal Articles

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2023
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  - journals/technometrics/MingWG23
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Deyu Ming, Daniel B. Williamson, Serge Guillas:
Deep Gaussian Process Emulation using Stochastic Imputation. Technometrics 65(2): 150-161 (2023)
2022
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  - journals/juq/MohammadiCWG22
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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)
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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)
2020
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Victoria Volodina, Daniel B. Williamson:
Diagnostics-Driven Nonstationary Emulators Using Kernel Mixtures. SIAM/ASA J. Uncertain. Quantification 8(1): 1-26 (2020)
2014
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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)

Informal and Other Publications

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2023
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  - journals/corr/abs-2306-01212
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Deyu Ming, Daniel B. Williamson:
Linked Deep Gaussian Process Emulation for Model Networks. CoRR abs/2306.01212 (2023)
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  - journals/corr/abs-2309-05529
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Cassandra Bird, Daniel B. Williamson, Sabina Leonelli:
On the meaning of uncertainty for ethical AI: philosophy and practice. CoRR abs/2309.05529 (2023)
2021
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  - journals/corr/abs-2107-01590
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Deyu Ming, Daniel B. Williamson, Serge Guillas:
Deep Gaussian Process Emulation using Stochastic Imputation. CoRR abs/2107.01590 (2021)

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