bayesian-inference

Uncertainty Quantification of Cinematic Imaging for Development of Predictive Simulations of Turbulent Combustion

Recent advances in high frame rate complementary metal-oxide-semiconductor (CMOS) cameras coupled with high repetition rate lasers have enabled laser-based imaging measurements of the temporal evolution of turbulent reacting flows. This measurement …

Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities

Uncertainty quantification in climate models is challenged by the sparsity of the available climate data due to the high computational cost of the model runs. Another feature that prevents classical uncertainty analyses from being easily applicable …

Uncertainty Quantification and Data Assimilation - Applications in Chemical Kinetics and Climate Modeling

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Bayesian Inference of Spectral Expansions for Predictability Assessment in Stochastic Reaction Networks

Stochastic reaction networks modeled as jump Markov processes serve as the main mathematical representation of biochemical phenomena in cells, particularly when the relevant molecule count is low, causing deterministic macroscale chemical reaction …