Regression modelEconometrics / time series

Bayesian Autoregressive (AR) Model

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.

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Sources

  1. Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. ISBN: 978-0471169376
  2. West, M., & Harrison, J. (1997). Bayesian Forecasting and Dynamic Models (2nd ed.). Springer. ISBN: 978-0387947259

Related methods

Referenced by

ScholarGateBayesian AR model (Bayesian Autoregressive Model). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/bayesian-ar-model