Adaptive maximum-likelihood-like estimation in linear models. II. Asymptotic normality.

Jan Ámos Vísek

Published in: Kybernetika (1992)

Keyphrases

linear models
maximum likelihood
maximum likelihood estimates
variable selection
linear model
linear regression
gaussian processes
nonlinear models
data sets
active learning
em algorithm
hyperparameters
likelihood function
machine learning
image sequences
maximum a posteriori