Parameter Estimation with Data-Driven Nonparametric Likelihood Functions.
Shixiao W. JiangJohn HarlimPublished in: Entropy (2019)
Keyphrases
- parameter estimation
- data driven
- maximum likelihood
- statistical models
- model selection
- least squares
- markov random field
- em algorithm
- parameter estimation algorithm
- maximum likelihood estimation
- random fields
- expectation maximization
- posterior distribution
- model fitting
- parameter values
- approximate inference
- likelihood function
- maximum likelihood estimates
- parameter estimates
- parameters estimation
- maximum a posteriori
- experimental data
- structure learning
- position estimation
- hidden markov models