Сравнение методов

	Модель Байесовских фиксированных эффектов	Байесовский МНК (Байесовская линейная регрессия методом наименьших квадратов)
Область	Эконометрика	Эконометрика
Семейство	Regression model	Regression model
Год появления	2000–2008	1971
Автор метода	Chib (2008); Lancaster (2000)	Arnold Zellner
Тип	Bayesian panel regression	Bayesian linear regression
Основополагающий источник	Lancaster, T. (2000). The incidental parameter problem since 1948. Journal of Econometrics, 95(2), 391–413.	Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. ISBN: 978-0471169376
Другие названия	Bayesian within estimator, Bayesian FE model, Bayesian individual fixed effects, Bayesian least squares dummy variable	Bayesian linear regression, Bayesian normal regression, BLR, Bayesian least squares
Связанные	5	5
Сводка	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.	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.