Khachik Sargsyan
Khachik Sargsyan
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Uncertainty Quantification and Data Assimilation - Applications in Stochastic Reaction Networks and Climate Modeling
Khachik Sargsyan
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Abstract
Date
Feb 24, 2010
Event
Interview Talk (8953)
Location
Sandia National Laboratories, Livermore, CA
stochastic-dynamics
polynomial-chaos
bayesian-inference
earth-system-models
Related
Uncertainty Quantification and Data Assimilation - Applications in Chemical Kinetics and Climate Modeling
Bayesian Inference of Spectral Expansions for Predictability Assessment in Stochastic Reaction Networks
Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities
Efficient Uncertainty Quantification Methodologies for High-Dimensional Climate Land Models
Uncertainty Quantification given Discontinuous Model Response and a Limited Number of Model Runs
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