Recursive parameter estimation of regression model when the interval of possible values is given.
Miroslav KárnýPublished in: Kybernetika (1982)
Keyphrases
- parameter estimation
- regression model
- interval valued data
- model selection
- parameter values
- regression analysis
- least squares
- maximum likelihood
- linear regression models
- generalized linear models
- statistical models
- markov random field
- regression methods
- em algorithm
- linear regression model
- gaussian process
- model fitting
- multivariate regression
- explanatory variables
- random fields
- prediction model
- hyperparameters
- target variable
- linear model
- expectation maximization
- parameter estimation algorithm
- posterior distribution
- sample size
- approximate inference
- feature selection
- parameter estimates
- regression trees
- markov chain monte carlo
- mixture model
- structure learning
- variable selection
- predictor variables
- multiple linear regression
- regression method