เปรียบเทียบวิธี

	Bayesian OLS (การถดถอยกำลังสองน้อยที่สุดแบบเบย์เซียน)	แบบจำลองเบย์เซียนสำหรับผลกระทบสุ่ม
สาขาวิชา	เศรษฐมิติ	เศรษฐมิติ
ตระกูล	Regression model	Regression model
ปีกำเนิด	1971	1972–1995
ผู้ริเริ่ม	Arnold Zellner	Lindley & Smith (1972); extended by Gelman, Rubin and colleagues
ประเภท	Bayesian linear regression	Bayesian hierarchical panel model
แหล่งต้นตำรับ	Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. ISBN: 978-0471169376	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
ชื่อเรียกอื่น	Bayesian linear regression, Bayesian normal regression, BLR, Bayesian least squares	Bayesian hierarchical model, Bayesian mixed effects model, Bayesian multilevel model, BREM
ที่เกี่ยวข้อง	5	5
สรุป	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 random effects model combines panel-data random effects with a Bayesian prior framework, allowing unit-specific effects to be treated as draws from a population distribution whose hyperparameters are estimated from the data. This produces regularised, uncertainty-quantified estimates that borrow strength across units — particularly valuable for short panels, sparse groups, or settings where frequentist variance-component estimation is unstable.