compressive-sensing

High-dimensional Polynomial Chaos Basis Selection with Bayesian Compressive Sensing

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Surrogate Construction via Bayesian Compressive Sensing for the Community Land Model

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Adaptive Basis Selection and Dimensionality Reduction with Bayesian Compressive Sensing

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Efficient Uncertainty Quantification Methodologies for High-Dimensional Climate Land Models

In this report, we proposed, examined and implemented approaches for performing efficient uncertainty quantification (UQ) in climate land models. Specifically, we applied Bayesian compressive sensing framework to a polynomial chaos spectral …