List of things named after Thomas Bayes

Thomas Bayes (/bz/ BAYZ; c. 1701 – 1761) was an English statistician, philosopher, and Presbyterian minister.

Bayesian (/ˈbziən/ BAY-zee-ən or /ˈbʒən/ BAY-zhən) may be either any of a range of concepts and approaches that relate to statistical methods based on Bayes' theorem, or a follower of these methods.[1]

Bayes

  • Bayes action – Mathematical decision rule
  • Bayes Business School – Business school in London
  • Bayes classifier – Classification algorithm in statistics
  • Bayes discriminability index
  • Bayes error rate – Error rate in statistical mathematics
  • Bayes estimator – Mathematical decision rule
  • 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 – Bayesian statistical inference method in which the prior distribution is estimated from the data
  • Evidence under Bayes theorem
  • Hierarchical Bayes model – Type of statistical model
  • Laplace–Bayes estimator – Formula in probability theory
  • Naive Bayes classifier – Probabilistic classification algorithm
  • Random naive Bayes – Tree-based ensemble machine learning method

Bayesian

  • Bayesian, a superyacht sunk off Palermo in 2024
  • Approximate Bayesian computation – Computational method in Bayesian statistics
  • Bayesian average – Type of 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 – Experimental design framework
  • 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 – Mathematical method for quicker estimation of probable outcomes
  • 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 – Program synthesis technique
  • Bayesian quadrature – Method in statistics
  • Bayesian regret
  • Bayesian search theory – Method for finding lost objects
  • Bayesian spam filtering – Probabilistic classification algorithm
  • Bayesian statistics – Theory and paradigm of statistics
  • Bayesian structural time series – Statistical technique used for feature selection
  • Bayesian support-vector machine – Set of methods for supervised statistical learning
  • Bayesian survival analysis
  • Bayesian template estimation
  • Bayesian tool for methylation analysis
  • Bayesian vector autoregression
  • 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

  • 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
  • Bayesian approaches to brain function – Explaining the brain's abilities through statistical principles
  • Bayesian inference in marketing – Application of statistical methods to marketing processes
  • 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 (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
  • Markov blanket – Subset of variables that contains all the useful information
  • Polytree – Type of graph in mathematics
  • Signaling game – Game class in game theory

References

  • Fienberg, Stephen (2006). "When did Bayesian inference become "Bayesian"?". Bayesian Analysis: 1–41. CiteSeerX 10.1.1.124.8632.