So sánh phương pháp

	Hồi quy Tuyến tính Đơn giản Bayes	Hồi quy Mạnh Bayes
Lĩnh vực	Thống kê	Thống kê
Họ	Regression model	Regression model
Năm ra đời	Early 19th century; textbook synthesis 2013	1993
Người khởi xướng	Laplace, P.-S. (early 19th c.); modern treatment: Gelman et al.	Geweke (1993); Gelman et al. (2013)
Loại	Bayesian linear regression	Bayesian regression with heavy-tailed errors
Công trình gốc	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	Geweke, J. (1993). Bayesian treatment of the independent Student-t linear model. Journal of Applied Econometrics, 8(S1), S19–S40.
Tên gọi khác	Bayesian SLR, Bayesian univariate regression, probabilistic simple linear regression, Bayesian linear model	Bayesian heavy-tailed regression, Bayesian Student-t regression, robust Bayesian linear model, BRR
Liên quan	6	6
Tóm tắt	Bayesian Simple Linear Regression models the relationship between a continuous outcome and a single predictor by combining a Gaussian likelihood with prior distributions over the intercept, slope, and error variance. The result is a full posterior distribution over all parameters, providing probabilistic uncertainty quantification rather than a single point estimate.	Bayesian Robust Regression replaces the Gaussian error assumption of ordinary linear regression with a heavy-tailed distribution — most commonly the Student-t — and estimates all parameters in a Bayesian framework. The heavier tails give outliers less influence on the fitted line, yielding stable coefficient estimates and honest uncertainty intervals even when the data contain unusual observations.