The calibration of P-values, posterior Bayes factors and the AIC from the posterior distribution of the likelihood.
Murray AitkinPublished in: Stat. Comput. (1997)
Keyphrases
- posterior distribution
- maximum likelihood
- hyperparameters
- posterior probability
- parameter estimation
- information criterion
- model selection
- model averaging
- maximum a posteriori
- probability distribution
- bayesian framework
- latent variables
- cross validation
- prior distribution
- free energy
- markov chain monte carlo
- expectation maximization
- gaussian distribution
- conditional distribution
- conditional probabilities
- proposal distribution
- parameter values
- em algorithm
- gaussian process
- gibbs sampler
- bayesian networks
- fully bayesian
- metropolis hastings
- generative model
- optical flow
- image reconstruction
- bayesian methods
- support vector
- decision trees
- computer vision
- sample size
- probabilistic model
- training set
- image processing
- feature selection
- machine learning