পদ্ধতির তুলনা করুন

	বেয়েশীয় অটোরেগ্রেসিভ (AR) মডেল	অটোরিগ্রেসিভ মডেল (AR)
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1971	1970s (popularised 1976)
প্রবর্তক	Arnold Zellner; foundational Bayesian time-series work by West & Harrison	George E. P. Box and Gwilym M. Jenkins
ধরন	Bayesian time-series model	Time series model
মৌলিক উৎস	Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. ISBN: 978-0471169376	Box, G. E. P., & Jenkins, G. M. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0816211043
অপর নাম	Bayesian autoregressive model, BAR model, Bayesian AR, Bayesian time-series autoregression	AR model, AR(p) model, autoregression, AR process
সম্পর্কিত	6	6
সারসংক্ষেপ	The Bayesian AR model estimates an autoregressive time-series process by combining a likelihood derived from the AR structure with prior distributions over the lag coefficients and error variance. Rather than producing single point estimates, it yields full posterior distributions, enabling principled uncertainty quantification and probabilistic forecasting.	An autoregressive model of order p — AR(p) — expresses the current value of a time series as a linear function of its own p most recent past values plus a white-noise error. It is the building block of the Box-Jenkins family of time-series models and is widely used for forecasting stationary economic and financial series.