A Sequential Monte Carlo Method for Parameter Estimation in Nonlinear Stochastic PDE's with Periodic Boundary Conditions.
Joaquín MíguezHarold Molina-BullaInés P. MariñoPublished in: CAMSAP (2023)
Keyphrases
- parameter estimation
- boundary conditions
- monte carlo method
- reaction diffusion
- posterior distribution
- maximum likelihood estimation
- monte carlo
- boundary value problem
- markov chain
- maximum likelihood
- bayesian learning
- least squares
- model selection
- markov random field
- markov chain monte carlo
- em algorithm
- shape from shading
- parameter estimation algorithm
- random fields
- sufficient conditions
- approximate inference
- genetic algorithm
- anisotropic diffusion
- expectation maximization
- hyperparameters
- partial differential equations
- belief propagation
- experimental data
- probabilistic model
- computer vision
- machine learning