User:K Smeltz/Books/Bayes - Fans of Nate

For Fans of Nate

 * Admissible decision rule
 * An Essay towards solving a Problem in the Doctrine of Chances
 * Approximate Bayesian computation
 * Aumann's agreement theorem
 * Averaged one-dependence estimators
 * Base rate
 * Bayes classifier
 * Bayes error rate
 * Bayes estimator
 * Bayes factor
 * Bayes linear statistics
 * Bayes' rule
 * Bayes' theorem
 * Bayesian additive regression kernels
 * Bayesian approaches to brain function
 * Bayesian average
 * Bayesian econometrics
 * Bayesian experimental design
 * Bayesian game
 * Bayesian inference
 * Bayesian information criterion
 * Bayesian linear regression
 * Bayesian multivariate linear regression
 * Bayesian probability
 * Bayesian search theory
 * Bayesian statistics
 * Bayesian vector autoregression
 * Bernoulli distribution
 * Bernstein–von Mises theorem
 * Beta distribution
 * Beta-binomial distribution
 * Binomial distribution
 * Calibrated probability assessment
 * Checking whether a coin is fair
 * Chinese restaurant process
 * Conjugate prior
 * Conservatism (belief revision)
 * Credal network
 * Credal set
 * Credible interval
 * Cromwell's rule
 * Cutaneous rabbit illusion
 * Data assimilation
 * De Finetti's theorem
 * Deviance information criterion
 * Dirichlet distribution
 * Dirichlet process
 * Empirical Bayes method
 * Ensemble Kalman filter
 * Evidence under Bayes theorem
 * Expectation propagation
 * Expected value of sample information
 * Exponential distribution
 * Extrapolation domain analysis
 * Focused information criterion
 * Gamma distribution
 * Gaussian process emulator
 * GLUE (uncertainty assessment)
 * Graph cuts in computer vision
 * Graphical model
 * Hierarchical Dirichlet process
 * Hyperparameter
 * Hyperprior
 * Imprecise probability
 * International Society for Bayesian Analysis
 * Inverse-gamma distribution
 * Inverse-Wishart distribution
 * Isotonic regression
 * Jeffreys prior
 * Kappa effect
 * Likelihood function
 * Marginal likelihood
 * Markov logic network
 * Maximum a posteriori estimation
 * Naive Bayes classifier
 * Nested sampling algorithm
 * Normal distribution
 * Normal-gamma distribution
 * Normal-inverse-Wishart distribution
 * Normal-Wishart distribution
 * Odds ratio
 * Pitman–Yor process
 * Poisson distribution
 * Posterior predictive distribution
 * Posterior probability
 * Precision (statistics)
 * Principle of maximum entropy
 * Prior probability
 * Prosecutor's fallacy
 * Random naive Bayes
 * Recursive Bayesian estimation
 * Reference class problem
 * Relevance vector machine
 * Robust Bayesian analysis
 * Sparse binary polynomial hashing
 * Speed prior
 * Strong prior
 * Tau effect
 * Variational Bayesian methods
 * Wishart distribution