An upper bound on the mean-square error for Bayesian parameter estimators (Corresp.).
Richard M. HawkesJohn Barratt MoorePublished in: IEEE Trans. Inf. Theory (1976)
Keyphrases
- upper bound
- lower bound
- worst case
- upper and lower bounds
- branch and bound algorithm
- bayesian networks
- closed form expressions
- input parameters
- sample size
- bayesian inference
- branch and bound
- data driven
- maximum likelihood
- graphical models
- variance estimator
- asymptotic properties
- scoring metrics
- gaussian processes
- generalization error
- prediction error
- data sets
- decision theory
- lower and upper bounds
- special case
- bayesian learning
- prior distribution
- variance reduction
- objective function
- signal to noise ratio