A Bayesian approach for parameter estimation in railway systems.
Nouha JaouaPhilippe VanheegheNicolas NavarroOlivier LangloisMarius IordachePublished in: ATSIP (2018)
Keyphrases
- parameter estimation
- maximum likelihood
- model selection
- em algorithm
- least squares
- statistical models
- parameter estimation algorithm
- markov random field
- random fields
- maximum likelihood estimation
- posterior distribution
- experimental data
- higher order
- parameter values
- approximate inference
- model fitting
- likelihood function
- gibbs sampling
- estimation problems
- computer vision