Template:Bayesian statistics

{sidebar
 * name = Bayesian statistics
 * title = Bayesian statistics
 * image = Bayes icon.svg
 * class = hlist


 * heading1 = Theory
 * content1 =
 * Bayesian probability
 * Probability interpretations
 * Bayes' theorem
 * Bayes' rule
 * Bayes factor
 * Bayesian inference
 * Bayesian network
 * Prior
 * Posterior
 * Likelihood
 * Conjugate prior
 * Posterior predictive
 * Hyperparameter
 * Hyperprior
 * Principle of indifference
 * Principle of maximum entropy
 * Empirical Bayes method
 * Cromwell's rule
 * Bernstein–von Mises theorem
 * Bayesian information criterion
 * Credible interval
 * Maximum a posteriori estimation


 * heading2 = Techniques
 * content2 =
 * Bayesian linear regression
 * Bayesian estimator
 * Approximate Bayesian computation


 * heading3 = Uses
 * content2 =
 * Binary classification
 * Naive Bayes classifier

}}