Search Results for author: D. Andrew Brown

Found 3 papers, 1 papers with code

A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information

no code implementations26 Jan 2022 John Nicholson, Peter Kiessler, D. Andrew Brown

For example, boundary value problems contain information on the boundary of a domain, which is an uncountable collection of points that cannot be incorporated into typical Gaussian process techniques.

Gaussian Processes Uncertainty Quantification

Bayesian Regularization for Functional Graphical Models with Applications to Neuroimaging

1 code implementation11 Oct 2021 Jiajing Niu, Boyoung Hur, John Absher, D. Andrew Brown

In this paper, we propose a fully Bayesian regularization scheme for estimating functional graphical models.

Coupling material and mechanical design processes via computer model calibration

no code implementations22 Jul 2019 Carl Ehrett, D. Andrew Brown, Evan Chodora, Christopher Kitchens, Sez Atamturktur

Computer model calibration typically operates by choosing parameter values in a computer model so that the model output faithfully predicts reality.

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