Drift estimation of multiscale diffusions based on filtered data
DOI10.1007/s10208-021-09541-9OpenAlexW3206815148MaRDI QIDQ2684461
Giacomo Garegnani, Andrea Zanoni, Assyr Abdulle, Andrew M. Stuart, Grigorios A. Pavliotis
Publication date: 16 February 2023
Published in: Foundations of Computational Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2009.13457
Langevin equationdiffusion processfilteringBayesian inferenceparameter inferencedata-driven homogenization
Bayesian inference (62F15) Markov processes: estimation; hidden Markov models (62M05) Numerical solutions to stochastic differential and integral equations (65C30) Homogenization and oscillations in dynamical problems of solid mechanics (74Q10)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Adaptive sub-sampling for parametric estimation of Gaussian diffusions
- A new framework for extracting coarse-grained models from time series with multiscale structure
- Statistical inference for perturbed multiscale dynamical systems
- Maximum likelihood drift estimation for multiscale diffusions
- Reconstruction of diffusion using spectral data from time series
- Estimating equations based on eigenfunctions for a discretely observed diffusion process
- Posterior consistency via precision operators for Bayesian nonparametric drift estimation in SDEs
- Parameter estimation for multiscale diffusions
- Estimating eddy diffusivities from noisy Lagrangian observations
- Sub-sampling and parametric estimation for multiscale dynamics
- Ergodicity for SDEs and approximations: locally Lipschitz vector fields and degenerate noise.
- Inverse problems: A Bayesian perspective
- Multiscale Modelling and Inverse Problems
- Diffusion Estimation from Multiscale Data by Operator Eigenpairs
- Dynamic updating of numerical model discrepancy using sequential sampling
- Remarks on Drift Estimation for Diffusion Processes
- Frequency Domain Estimation of Integrated Volatility for Itô Processes in the Presence of Market-Microstructure Noise
- Iterative updating of model error for Bayesian inversion
- Discrete-Time Statistical Inference for Multiscale Diffusions
- Numerical Homogenization and Model Order Reduction for Multiscale Inverse Problems
- Statistics and high-frequency data
- A Bayesian Numerical Homogenization Method for Elliptic Multiscale Inverse Problems
- Ensemble Kalman Filter for Multiscale Inverse Problems
- Stochastic Processes and Applications
- Semiparametric Drift and Diffusion Estimation for Multiscale Diffusions
- Multiscale Methods
- A Tale of Two Time Scales
This page was built for publication: Drift estimation of multiscale diffusions based on filtered data