List of things named after Thomas Bayes
Appearance
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Thomas Bayes (/beɪz/; c. 1701 – 1761) was an English statistician, philosopher, and Presbyterian minister.
Bayesian (/ˈbeɪˌʒən/ or /ˈbeɪˌzɪən/) refers either to a range of concepts and approaches that relate to statistical methods based on Bayes' theorem, or a follower of these methods.[1]
Bayes
[edit]- Bayes action – Estimator or decision rule that minimizes the posterior expected value of a loss function
- Bayes Business School – Business school in London
- Bayes classifier – classification algorithm
- Bayes discriminability index
- Bayes error rate – error rate of the Bayes classifier
- Bayes estimator – Estimator or decision rule that minimizes the posterior expected value of a loss function
- Bayes factor – Statistical factor used to compare competing hypotheses
- Bayes Impact – Non-profit organization
- Bayes linear statistics
- Bayes prior – Distribution of an uncertain quantity
- Bayes' theorem / Bayes–Price theorem – Mathematical rule for inverting probabilities – sometimes called Bayes' rule or Bayesian updating.
- Empirical Bayes method – A Bayesian statistical inference method in which the prior distribution is estimated from the data
- Evidence under Bayes theorem
- Hierarchical Bayes model – Statistical models of parameters that vary at more than one level
- Laplace–Bayes estimator – Formula in probability theory
- Naive Bayes classifier – Probabilistic classification algorithm
- Random naive Bayes – Tree-based ensemble machine learning method
Bayesian
[edit]- Approximate Bayesian computation – Computational method in Bayesian statistics
- Bayesian average
- Bayesian Analysis (journal)
- Bayesian approaches to brain function – Explaining the brain's abilities through statistical principles
- Bayesian bootstrap – Statistical method
- Bayesian control rule – Type of heuristic technique
- Bayesian cognitive science
- Bayesian econometrics – Branch of econometrics
- Bayesian efficiency – Analog of Pareto efficiency for situations with incomplete information
- Bayesian epistemology – Probabilistic theory of knowledge
- Bayesian expected loss – Mathematical relation assigning a probability event to a cost
- Bayesian experimental design
- Bayesian game – Game theory concept
- Bayesian hierarchical modeling – Statistical model written in multiple levels
- Bayesian History Matching
- Bayesian inference – Method of statistical inference
- Bayesian inference in phylogeny – Statistical method for molecular phylogenetics
- Bayesian information criterion – Criterion for model selection (BIC)
- Widely applicable Bayesian information criterion (WBIC)
- Bayesian Kepler periodogram – Indirect method for finding extrasolar planets and brown dwarfs
- Bayesian knowledge tracing
- Bayesian learning mechanisms
- Bayesian linear regression – Method of statistical analysis
- Bayesian model of computational anatomy
- Bayesian model averaging – Statistics and machine learning technique (BMA)
- Bayesian model combination – Statistics and machine learning technique (BMC)
- Bayesian model reduction – statistical method for computing the evidence and parameters of models
- Bayesian model selection – Statistical factor used to compare competing hypotheses
- Bayesian multivariate linear regression – Bayesian approach to multivariate linear regression
- Bayesian Nash equilibrium – Game theory concept
- Bayesian network – Statistical model
- Bayesian neural network – Computational model used in machine learning, based on connected, hierarchical functions
- Bayesian operational modal analysis (BAYOMA)
- Bayesian-optimal mechanism
- Bayesian-optimal pricing
- Bayesian optimization – Statistical optimization technique
- Bayesian poisoning – Technique used by e-mail spammers
- Bayesian probability – Interpretation of probability
- Bayesian procedures – Categorization of data using statistics
- Bayesian programming – Statistics concept
- Bayesian program synthesis – A program synthesis technique
- Bayesian quadrature – Method in statistics
- Bayesian regret – expected difference between the utility of a Bayesian strategy and that of the optimal strategy
- Bayesian search theory – Method for finding lost objects
- Bayesian spam filtering – Technique for filtering spam e-mail
- Bayesian statistics – Theory in the field of statistics
- Bayesian structural time series
- Bayesian support-vector machine – Set of methods for supervised statistical learning
- Bayesian survival analysis
- Bayesian template estimation
- Bayesian tool for methylation analysis – also known as BATMAN
- Bayesian vector autoregression – use of Bayesian methods to estimate a vector autoregression model
- Dynamic Bayesian network – Probabilistic graphical model
- International Society for Bayesian Analysis
- Perfect Bayesian equilibrium – Solution concept in game theory (PBE)
- Quantum Bayesianism – Interpretation of quantum mechanics
- Recursive Bayesian estimation – Process for estimating a probability density function
- Robust Bayesian analysis – Type of sensitivity analysis
- Variable-order Bayesian network
- Variational Bayesian methods – Mathematical methods used in Bayesian inference and machine learning
See also
[edit]- Active inference – Hypothesis in neuroscience
- Admissible decision rule – Type of "good" decision rule in Bayesian statistics
- Aumann's agreement theorem – Theorem in game theory about whether Bayesian agents can agree to disagree
- Banburismus – Cryptanalytic process developed by Alan Turing during World War II, a cryptanalytic process
- Bayesian approaches to brain function – Explaining the brain's abilities through statistical principles
- Bayesian inference in marketing
- Bayesian inference in motor learning – Statistical tool
- Bayesian inference using Gibbs sampling – Statistical software for Bayesian inference (BUGS)
- Bayesian interpretation of kernel regularization
- Bayesian tool for methylation analysis – also known as BATMAN (BATMAN)
- Conditional Probability – Probability of an event occurring, given that another event has already occurred
- Credibility theory – Branch of actuarial mathematics
- Evidence under Bayes' theorem
- Dempster–Shafer theory – Mathematical framework to model epistemic uncertainty, a generalization of Bayes' theorem.
- History of Bayesian statistics
- Inverse probability – Old term for the probability distribution of an unobserved variable
- Inverse resolution – learning logic programs from data
- Nested sampling algorithm – method in Bayesian statistics
- Markov blanket – Subset of variables that contains all the useful information
- Polytree – directed acyclic graph whose underlying undirected graph is a tree
- Signaling game – Game class in game theory
References
[edit]External links
[edit]- Fienberg, Stephen (2006). "When did Bayesian inference become "Bayesian"?". Bayesian Analysis: 1–41. CiteSeerX 10.1.1.124.8632.