On Guaranteed Parameter Estimation of Stochastic Delay Differential Equations by Noisy Observations

None

Guardado en:

Detalles Bibliográficos
Autores principales:	Küchler, Uwe, Vasiliev, Vyacheslav A.
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2012
Materias:	Physical Sciences, Engineering and Technology
Acceso en línea:	https://www.intechopen.com/chapters/41202
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares: On Guaranteed Parameter Estimation of Stochastic Delay Differential Equations by Noisy Observations

Vista rápida
Operator Fitting for Parameter Estimation of Stochastic Differential Equations
Vista rápida
Magnus Methods for Stochastic Delay-Differential Equations
Vista rápida
The truncated EM method for stochastic differential delay equations with variable delay
Vista rápida
Implementation of Milstein Schemes for Stochastic Delay-Differential Equations with Arbitrary Fixed Delays
Vista rápida
DDE-Find: Learning Delay Differential Equations from Noisy, Limited Data
Vista rápida
The Truncated Euler-Maruyama Method for Stochastic Differential Delay Equations
Vista rápida
Sparse Identification of Nonlinear Dynamics for Stochastic Delay Differential Equations
Vista rápida
Approximation to Deep Q-Network by Stochastic Delay Differential Equations
Vista rápida
Parameter Estimation in Stochastic Differential Equations via Wiener Chaos Expansion and Stochastic Gradient Descent
Vista rápida
Observer-based Differentiators for Noisy Signals
Vista rápida
A numerical method for solving stochastic differential equations with noisy memory
Vista rápida
Nonparametric learning of stochastic differential equations from sparse and noisy data
Vista rápida
Stability of analytical and numerical solutions of nonlinear stochastic delay differential equations
Vista rápida
Hybrid Stochastic Functional Differential Equations with Infinite Delay: Approximations and Numerics
Vista rápida
The Euler Scheme for Fractional Stochastic Delay Differential Equations with Additive Noise
Vista rápida
Efficient CNN-LSTM based Parameter Estimation of Levy Driven Stochastic Differential Equations
Vista rápida
PINNverse: Accurate parameter estimation in differential equations from noisy data with constrained physics-informed neural networks
Vista rápida
Stochastic Gradient Langevin with Delayed Gradients
Vista rápida
Parameter Estimation Over Noisy Communication Channels in Distributed Sensor Networks
Vista rápida
State Observation of LTV Systems with Delayed Measurements: A Parameter Estimation-based Approach
Vista rápida
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework
Vista rápida
Neural Delay Differential Equations
Vista rápida
Learning noisy phase transition dynamics from stochastic partial differential equations
Vista rápida
Comparing statistical and deep learning techniques for parameter estimation of continuous-time stochastic differentiable equations