Parameter estimation with maximal updated densities

DOI10.1016/j.cma.2023.115906OpenAlexW4319069656MaRDI QIDQ2693387

Tian Yu Yen, Michael Pilosov, Carlos del-Castillo-Negrete, Troy Butler, Clint N. Dawson

Publication date: 20 March 2023

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2212.04587

zbMATH Keywords

parameter estimationinverse problemsuncertainty quantificationpullback measurepush-forward measure

Mathematics Subject Classification ID

Statistics (62-XX) Geophysics (86-XX)

Related Items (2)

Inferring parameters of pyramidal neuron excitability in mouse models of Alzheimer's disease using biophysical modeling and deep learning ⋮ Functional PCA and deep neural networks-based Bayesian inverse uncertainty quantification with transient experimental data

Uses Software

• ADCIRC
• BayesDA
• drums

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