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	Wnioskowanie bayesowskie	Model Bradleya-Terry'ego
Dziedzina	Statystyka	Podejmowanie decyzji
Rodzina	Bayesian methods	Regression model
Rok powstania	1763	1952
Twórca	Thomas Bayes; Pierre-Simon Laplace	Ralph Bradley & Milton Terry
Typ	Probabilistic inference paradigm	Probabilistic paired comparison model
Źródło pierwotne	Bayes, T. (1763). An essay towards solving a problem in the doctrine of chances. Philosophical Transactions of the Royal Society of London, 53, 370–418.	Bradley, R. A., & Terry, M. E. (1952). Rank analysis of incomplete block designs: I. The method of paired comparisons. Biometrika, 39(3/4), 324–345.
Inne nazwy	Bayes inference, Bayesian statistics, Bayesian updating, posterior inference	BT Model, Bradley-Terry-Luce Model, Paired Comparison Model, İkili Karşılaştırma Modeli
Pokrewne	3	3
Podsumowanie	Bayesian inference is a statistical paradigm in which probability represents degrees of belief rather than long-run frequencies. It encodes prior knowledge about parameters in a prior distribution, combines that prior with the likelihood of observed data via Bayes' theorem, and produces a posterior distribution that quantifies updated uncertainty. The foundational theorem was published posthumously by Thomas Bayes in 1763 and subsequently systematized by Pierre-Simon Laplace in his 1812 Théorie analytique des probabilités.	The Bradley-Terry model is a probabilistic model for paired comparisons that assigns a latent strength parameter to each item and predicts the probability that one item beats another in a head-to-head contest. Introduced by Ralph A. Bradley and Milton E. Terry in 1952, it provides a principled statistical framework for ranking items from pairwise preference data, including incomplete comparison designs where not every pair is directly observed.