Сравнение на методи

	Байесова ОЛС (Байесова обикновена най-малка квадратична регресия)	Модел с Байесови фиксирани ефекти
Област	Иконометрия	Иконометрия
Семейство	Regression model	Regression model
Година на възникване	1971	2000–2008
Създател	Arnold Zellner	Chib (2008); Lancaster (2000)
Тип	Bayesian linear regression	Bayesian panel regression
Основополагащ източник	Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. ISBN: 978-0471169376	Lancaster, T. (2000). The incidental parameter problem since 1948. Journal of Econometrics, 95(2), 391–413.
Други названия	Bayesian linear regression, Bayesian normal regression, BLR, Bayesian least squares	Bayesian within estimator, Bayesian FE model, Bayesian individual fixed effects, Bayesian least squares dummy variable
Свързани	5	5
Резюме	Bayesian OLS combines the classical linear regression likelihood with prior distributions over the coefficients and error variance. Rather than reporting point estimates, it produces full posterior distributions that quantify both estimated effects and their uncertainty. The approach is especially valuable when prior knowledge is available or when samples are small.	The Bayesian fixed effects model applies Bayesian inference to the classical within-group panel estimator. Unit-specific intercepts capture time-invariant unobserved heterogeneity, while prior distributions on all parameters allow probability statements about coefficients and full uncertainty quantification via the posterior distribution.