[REQUIRES TRANSLATION]
Bayes Factor tests, 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.
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Avoti
- Jeffreys, H. (1961). Theory of Probability (3rd ed.). Clarendon Press / Oxford University Press. ISBN: 978-0198503682
- Kass, R. E. & Raftery, A. E. (1995). Bayes Factors. Journal of the American Statistical Association, 90(430), 773–795. DOI: 10.1080/01621459.1995.10476572 ↗
Kā citēt šo lapu
ScholarGate. (2026, June 1). Bayes Factor Hypothesis Test. ScholarGate. https://scholargate.app/lv/bayesian/bayes-factor-test
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Beijesiskā regresijaBajesa metodes↔ compare
- Neatkarīgo paraugu t-testsStatistika↔ compare
- Mārkova ķēžu Montekarlo (MCMC)Bajesa metodes↔ compare
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