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A Bayesian numerical homogenization method for elliptic multiscale inverse problems

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A Bayesian numerical homogenization method for elliptic multiscale inverse problems

Fast Bayesian estimation of spatial count data models

Bayesian regression explains how human participants handle parameter uncertainty

Penalization and Bayesian numerical methods for multiscale inverse problems

Numerical Homogenization And Model Order Reduction For Multiscale Inverse Problems

Exploration and Inference in Spatial Extremes Using Empirical Basis Functions

Statistical Aspects of Wasserstein Distances

Uncertainty reduction in biochemical kinetic models: Enforcing desired model properties

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Fast Bayesian estimation of spatial count data models

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Bayesian regression explains how human participants handle parameter uncertainty

Penalization and Bayesian numerical methods for multiscale inverse problems

Numerical Homogenization And Model Order Reduction For Multiscale Inverse Problems

Exploration and Inference in Spatial Extremes Using Empirical Basis Functions

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Uncertainty reduction in biochemical kinetic models: Enforcing desired model properties

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