Importance sampling for stochastic reaction-diffusion equations in the moderate deviation regime
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Publication:6643679
DOI10.1007/S40072-023-00320-XMaRDI QIDQ6643679
Michael Salins, Ioannis Gasteratos, Konstantinos Spiliopoulos
Publication date: 26 November 2024
Published in: Stochastic and Partial Differential Equations. Analysis and Computations (Search for Journal in Brave)
optimal controlimportance samplingMonte Carlo methodsstochastic reaction-diffusion equationsmoderate deviationsrare event simulation
Cites Work
- Title not available (Why is that?)
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- Sharp estimates for metastable lifetimes in parabolic SPDEs: Kramers law and beyond
- Hitchhiker's guide to the fractional Sobolev spaces
- An Eyring-Kramers law for the stochastic Allen-Cahn equation in dimension two
- Delta method in large deviations and moderate deviations for estimators
- Moderate deviation principles for stochastic differential equations with jumps
- Escaping from an attractor: Importance sampling and rest points. I.
- Large deviations for infinite dimensional stochastic dynamical systems
- On moderate deviation theory in estimation
- On moderate deviations for martingales
- Rare event simulation via importance sampling for linear SPDE's
- Metastability in reversible diffusion processes. I: Sharp asymptotics for capacities and exit times
- Metastability in reversible diffusion processes. II: Precise asymptotics for small eigenvalues
- Large deviations results for the exit problem with characteristic boundary
- Averaging principle of SDE with small diffusion: Moderate deviations
- Large deviations for stochastic reaction-diffusion systems with multiplicative noise and non-Lipschitz reaction term.
- Metastability and exit problems for systems of stochastic reaction-diffusion equations
- An introduction to singular stochastic PDEs. Allen-Cahn equations, metastability, and regularity structures
- Exponential loss of memory for the 2-dimensional Allen-Cahn equation with small noise
- Systems of small-noise stochastic reaction-diffusion equations satisfy a large deviations principle that is uniform over all initial data
- Moderate deviations for stochastic reaction-diffusion equations with multiplicative noise
- Stochastic simulation: Algorithms and analysis
- Importance sampling for multiscale diffusions
- Exact Eigenvalues and Eigenfunctions Associated with Linearization for Chafee-Infante Problem
- Moderate deviations for recursive stochastic algorithms
- Overcoming the order barrier in the numerical approximation of stochastic partial differential equations with additive space–time noise
- Large fluctuations for a nonlinear heat equation with noise
- On Minimum Energy Problems
- A bifurcation problem for a nonlinear partial differential equation of parabolic type†
- JACOBI ELLIPTIC SOLUTIONS OF λϕ4 THEORY IN A FINITE DOMAIN
- Importance Sampling for Metastable and Multiscale Dynamical Systems
- Nonlinear PDEs
- Moderate deviations for systems of slow-fast diffusions
- Rare Event Simulation of Small Noise Diffusions
- Importance Sampling, Large Deviations, and Differential Games
- Pathwise moderate deviations for option pricing
- Stochastic Equations in Infinite Dimensions
- Importance Sampling for Slow-Fast Diffusions Based on Moderate Deviations
- Moderate deviations-based importance sampling for stochastic recursive equations
- Analysis and Approximation of Rare Events
- Subsolutions of an Isaacs Equation and Efficient Schemes for Importance Sampling
- Second order PDE's in finite and infinite dimension
- Moderate deviations for systems of slow-fast stochastic reaction-diffusion equations
- Moderate deviations for fully coupled multiscale weakly interacting particle systems
- On the theory of superconductivity
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