Bayesian system ID: optimal management of parameter, model, and measurement uncertainty
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Publication:6174350
DOI10.1007/s11071-020-05925-8zbMath1517.93021arXiv2003.02359OpenAlexW3084170704MaRDI QIDQ6174350
Unnamed Author, Nicholas Galioto
Publication date: 16 August 2023
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2003.02359
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Cites Work
- Unnamed Item
- The pseudo-marginal approach for efficient Monte Carlo computations
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems
- An Analysis of the Total Least Squares Problem
- Numerical differentiation of noisy, nonsmooth data
- Parameter identification of nonlinear fractional-order systems by enhanced response sensitivity approach
- Parametric identification of nonlinear systems using multiple trials
- Stochastic spectral methods for efficient Bayesian solution of inverse problems
- Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
- Statistical decision theory and Bayesian analysis. 2nd ed
- Determining Lyapunov exponents from a time series
- Data-driven deep learning of partial differential equations in modal space
- Robust parameter estimation of chaotic systems
- Enhanced global flower pollination algorithm for parameter identification of chaotic and hyper-chaotic system
- Multi-variable Volterra kernels identification using time-delay neural networks: application to unsteady aerodynamic loading
- Chaos detection and parameter identification in fractional-order chaotic systems with delay
- Equation-free, coarse-grained multiscale computation: enabling microscopic simulators to perform system-level analysis
- Dynamic Mode Decomposition with Control
- Dynamic mode decomposition of numerical and experimental data
- Residual Minimizing Model Interpolation for Parameterized Nonlinear Dynamical Systems
- Spectral analysis of nonlinear flows
- Turbulence and the dynamics of coherent structures. I. Coherent structures
- Deterministic Nonperiodic Flow
- Particle Markov Chain Monte Carlo Methods
- Analysis and Properties of the Generalized Total Least Squares Problem $AX \approx B$ When Some or All Columns in A are Subject to Error
- Cubature Kalman Filters
- Inverse Acoustic and Electromagnetic Scattering Theory
- Data Assimilation
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
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