Posterior Sampling When the Normalizing Constant is Unknown.
Stephen G. WalkerPublished in: Commun. Stat. Simul. Comput. (2011)
Keyphrases
- markov chain monte carlo
- metropolis hastings
- probability distribution
- sample size
- bayesian framework
- monte carlo
- posterior distribution
- sampled data
- sampling algorithm
- standard deviation
- sampling strategy
- gaussian process
- bayesian inference
- machine learning
- parameter space
- markov chain
- least squares
- probabilistic model