Exploiting dynamical coherence: a geometric approach to parameter estimation in nonlinear models
From MaRDI portal
Publication:415111
DOI10.1016/j.physleta.2010.04.032zbMath1237.62086OpenAlexW1974282206MaRDI QIDQ415111
Milena C. Cuéllar, Hailiang Du, Kevin Judd, Leonard A. Smith
Publication date: 11 May 2012
Published in: Physics Letters. A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physleta.2010.04.032
Estimation in multivariate analysis (62H12) Point estimation (62F10) General nonlinear regression (62J02)
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- State and parameter estimation in nonlinear systems as an optimal tracking problem
- Problems in estimating dynamics from data
- Localized Lyapunov exponents and the prediction of predictability
- A two-dimensional mapping with a strange attractor
- State space reconstruction in the presence of noise
- Embedology
- Gradient free descent: Shadowing, and state estimation using limited derivative information
- Indistinguishable states. II: The imperfect model scenario
- Consistent nonlinear dynamics: identifying model inadequacy
- Homoclinic tangencies and non-normal Jacobians-effects of noise in nonhyperbolic chaotic systems
- Likelihood and Bayesian Prediction of Chaotic Systems
- NONLINEAR TIME SEQUENCE ANALYSIS
- Modeling Noisy Time Series: Physiological Tremor
- Local optimal prediction: exploiting strangeness and the variation of sensitivity to initial condition
- Indistinguishable states. I: Pefect model scenario.
- Markov chain Monte Carlo estimation of nonlinear dynamics from time series
This page was built for publication: Exploiting dynamical coherence: a geometric approach to parameter estimation in nonlinear models