Nonlinear reduced models for state and parameter estimation.
Albert CohenWolfgang DahmenOlga MulaJames A. NicholsPublished in: CoRR (2020)
Keyphrases
- parameter estimation
- statistical models
- model selection
- maximum likelihood
- random fields
- least squares
- em algorithm
- estimation problems
- model fitting
- markov random field
- probabilistic model
- structure learning
- approximate inference
- posterior distribution
- parameter values
- statistical model
- expectation maximization
- maximum likelihood estimation
- markov chain monte carlo
- parameter learning
- parameters estimation
- parameter estimation algorithm
- state estimation
- parameter estimates
- parametric models
- markov chain
- state space
- gibbs sampling
- color images
- position estimation