Zobrazeno 1 - 10
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pro vyhledávání: '"Williamson, Daniel B."'
Computer model calibration involves using partial and imperfect observations of the real world to learn which values of a model's input parameters lead to outputs that are consistent with real-world observations. When calibrating models with high-dim
Externí odkaz:
http://arxiv.org/abs/2310.18875
Autor:
Neupane, Sanjiv, Williamson, Daniel B., Roth, Robyn A., Halabi, Carmen M., Haltiwanger, Robert S., Holdener, Bernadette C.
Publikováno v:
In Journal of Biological Chemistry July 2024 300(7)
Autor:
Salter, James M, Williamson, Daniel B
Calibration of expensive computer models with high-dimensional output fields can be approached via history matching. If the entire output field is matched, with patterns or correlations between locations or time points represented, calculating the di
Externí odkaz:
http://arxiv.org/abs/1906.05758
The use of emergent constraints to quantify uncertainty for key policy relevant quantities such as Equilibrium Climate Sensitivity (ECS) has become increasingly widespread in recent years. Many researchers, however, claim that emergent constraints ar
Externí odkaz:
http://arxiv.org/abs/1905.01241
Ice sheet models are used to study the deglaciation of North America at the end of the last ice age (past 21,000 years), so that we might understand whether and how existing ice sheets may reduce or disappear under climate change. Though ice sheet mo
Externí odkaz:
http://arxiv.org/abs/1808.09322
Existing methods for diagnosing predictability in climate indices often make a number of unjustified assumptions about the climate system that can lead to misleading conclusions. We present a flexible family of state-space models capable of separatin
Externí odkaz:
http://arxiv.org/abs/1807.02671
Weakly stationary Gaussian processes (GPs) are the principal tool in the statistical approaches to the design and analysis of computer experiments (or Uncertainty Quantification). Such processes are fitted to computer model output using a set of trai
Externí odkaz:
http://arxiv.org/abs/1803.04906
The calibration of complex computer codes using uncertainty quantification (UQ) methods is a rich area of statistical methodological development. When applying these techniques to simulators with spatial output, it is now standard to use principal co
Externí odkaz:
http://arxiv.org/abs/1801.08184
We develop Bayesian state space methods for modelling changes to the mean level or temporal correlation structure of an observed time series due to intermittent coupling with an unobserved process. Novel intervention methods are proposed to model the
Externí odkaz:
http://arxiv.org/abs/1711.04135
Publikováno v:
In Journal of Biological Chemistry September 2021 297(3)