General classes of performance lower bounds for parameter estimation: part II: Bayesian bounds.
Koby TodrosJoseph TabrikianPublished in: IEEE Trans. Inf. Theory (2010)
Keyphrases
- parameter estimation
- lower bound
- maximum likelihood
- upper bound
- posterior distribution
- least squares
- statistical models
- model selection
- upper and lower bounds
- parameter estimation algorithm
- special case
- random fields
- markov random field
- em algorithm
- lower and upper bounds
- expectation maximization
- parameter values
- parameters estimation
- position estimation
- approximate inference
- sample complexity
- vc dimension
- objective function
- gibbs sampling
- parameter estimates
- bayesian model selection
- pairwise
- markov chain monte carlo
- error bounds
- higher order
- worst case
- markov fields
- optimal solution
- bayesian networks