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Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Bayesovská lineárna regresia× | Nezávislý t-test pre dva výberové súbory× | |
|---|---|---|
| Odbor≠ | Bayesovské metódy | Štatistika |
| Rodina≠ | Bayesian methods | Hypothesis test |
| Rok vzniku≠ | 2013 (modern reference); foundations 18th–19th century | 1908 |
| Tvorca≠ | Thomas Bayes / Pierre-Simon Laplace (foundations); modern workflow codified by Gelman et al. | Student (W. S. Gosset) |
| Typ≠ | Bayesian linear model | Parametric mean comparison |
| Pôvodný zdroj≠ | Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A. & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955 | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| Ďalšie názvy≠ | bayesian linear model, probabilistic linear regression, Bayesçi Doğrusal Regresyon | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| Príbuzné | 4 | 4 |
| Zhrnutie≠ | Bayesian linear regression is a probabilistic extension of the ordinary linear model, introduced through Bayes' rule and formalised in its modern computational workflow by Gelman et al. (2013). Rather than returning a single point estimate for each coefficient, it combines a user-specified prior distribution with the likelihood of the observed data to produce a full posterior distribution over all parameters, from which credible intervals and posterior predictive distributions are derived. | The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances. |
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