Parameter estimation with maximal updated densities
From MaRDI portal
Publication:2693387
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
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
Cites Work
- Unnamed Item
- Stochastic spectral methods for efficient Bayesian solution of inverse problems
- A wave equation model for finite element tidal computations
- Principal component analysis.
- What do we hear from a drum? A data-consistent approach to quantifying irreducible uncertainty on model inputs by extracting information from correlated model output data
- Bayesian Calibration of Computer Models
- Inverse problems: A Bayesian perspective
- Inverse problems in the Bayesian framework
- A Measure-Theoretic Computational Method for Inverse Sensitivity Problems III: Multiple Quantities of Interest
- An Analysis of Infinite Dimensional Bayesian Inverse Shape Acoustic Scattering and Its Numerical Approximation
- A Combined Probabilistic/Nonprobabilistic Decision Analysis for Contaminant Remediation
- Approximation of Bayesian Inverse Problems for PDEs
- Bayesian analysis in inverse problems
- Conditioning as disintegration
- Probability Theory
- Convergence of Probability Densities Using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification
- Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems
- Hierarchical Bayesian models for inverse problems in heat conduction
- Inverse Problem Theory and Methods for Model Parameter Estimation
- Data-consistent inversion for stochastic input-to-output maps
- Bayesian Inverse Problems and Kalman Filters
This page was built for publication: Parameter estimation with maximal updated densities