A time-varying clutter intensity estimation algorithm by using Gibbs sampler and BIC.
Weifeng LiuHailong CuiChenglin WenPublished in: FUSION (2016)
Keyphrases
- estimation algorithm
- gibbs sampler
- maximum likelihood
- bayesian inference
- posterior distribution
- random fields
- markov chain
- gibbs sampling
- parameter estimation
- model selection
- computationally efficient
- hyperparameters
- em algorithm
- expectation maximization
- maximum a posteriori
- cross validation
- closed form
- mixture model
- gaussian distribution
- conditional random fields
- sample size
- least squares