General classes of performance lower bounds for parameter estimation: part I: non-Bayesian bounds for unbiased estimators.
Koby TodrosJoseph TabrikianPublished in: IEEE Trans. Inf. Theory (2010)
Keyphrases
- parameter estimation
- lower bound
- maximum likelihood
- upper bound
- posterior distribution
- random fields
- least squares
- model selection
- estimation problems
- statistical models
- em algorithm
- bayesian model selection
- markov random field
- special case
- parameter values
- parameter estimation algorithm
- upper and lower bounds
- worst case
- approximate inference
- lower and upper bounds
- expectation maximization
- markov chain monte carlo
- parameters estimation
- vc dimension
- markov fields
- metropolis hastings algorithm
- parameter estimates
- model fitting
- high dimensional
- bayesian networks
- sample size
- objective function
- image segmentation