A new Gibbs sampling DOA estimator based on Bayesian method.
Jianguo HuangYi SunKewei LiuHongfeng QinPublished in: ICASSP (5) (2003)
Keyphrases
- gibbs sampling
- bayesian methods
- parameter estimation
- maximum likelihood
- hyperparameters
- em algorithm
- expectation maximization
- maximum a posteriori
- topic models
- markov chain
- model selection
- approximate inference
- bayesian framework
- least squares
- latent dirichlet allocation
- gaussian processes
- belief networks
- gaussian process
- markov chain monte carlo
- cross validation
- learning algorithm
- posterior distribution
- probabilistic model
- machine learning
- bayesian inference
- machine learning methods
- generative model
- probabilistic inference
- bayesian networks