Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error.
Yongyun ShinStephen RaudenbushPublished in: J. Comput. Graph. Stat. (2024)
Keyphrases
- incomplete data
- maximum likelihood estimation
- linear models
- em algorithm
- measurement error
- expectation maximization
- maximum likelihood
- variable selection
- linear model
- proximal point
- parameter estimation
- linear regression
- missing data
- bayesian networks
- probability distribution
- generative model
- hyperparameters
- gaussian processes
- statistical models
- range images
- maximum a posteriori
- missing values
- probability density function
- decision trees
- data mining
- image sequences
- image processing
- computer vision