So sánh phương pháp

	Kiểm định Hệ số Bayes	Suy luận Bayes
Lĩnh vực	Bayes	Thống kê
Họ	Bayesian methods	Bayesian methods
Năm ra đời	1961	1763
Người khởi xướng	Harold Jeffreys	Thomas Bayes; Pierre-Simon Laplace
Loại	Bayesian hypothesis comparison	Probabilistic inference paradigm
Công trình gốc	Jeffreys, H. (1961). Theory of Probability (3rd ed.). Clarendon Press / Oxford University Press. ISBN: 978-0198503682	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.
Tên gọi khác	bayes factor, BF10, Bayesian hypothesis test, Bayes Faktörü — Hipotez Testi	Bayes inference, Bayesian statistics, Bayesian updating, posterior inference
Liên quan	3	3
Tóm tắt	The Bayes factor test, formalised by Harold Jeffreys in 1961, is a Bayesian method for comparing two competing hypotheses. Rather than returning a binary reject/retain verdict, it produces a continuous ratio BF₁₀ that quantifies how much more (or less) probable the data are under the alternative hypothesis H₁ than under the null hypothesis H₀.	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.