User:K Smeltz/Books/Bayes - Fans of Nate
 | The Wikimedia Foundation's book rendering service has been withdrawn. Please upload your Wikipedia book to one of the external rendering services. |
 | You can still create and edit a book design using the Book Creator and upload it to an external rendering service:
|
| This user book is a user-generated collection of Wikipedia articles that can be easily saved, rendered electronically, and ordered as a printed book. If you are the creator of this book and need help, see Help:Books (general tips) and WikiProject Wikipedia-Books (questions and assistance). Edit this book: Book Creator · Wikitext Order a printed copy from: PediaPress [ About ] [ Advanced ] [ FAQ ] [ Feedback ] [ Help ] [ WikiProject ] [ Recent Changes ] | ||||||||
Bayes[edit]
For Fans of Nate[edit]
- 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