Simulation-Based Bayesian Econometric Inference: Principles and Some Recent Computational Advances

Lennart F. Hoogerheide*, Herman K. van Dijk, Rutger D. van Oest

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Original languageEnglish
Title of host publicationHandbook of Computational Econometrics
EditorsDavid A. Belsley, E.J. Kontoghiorghes
PublisherJohn Wiley & Sons, Ltd
Number of pages66
ISBN (Print)9780470743850
Publication statusPublished - 2009


  • Adaptive radial-based direction sampling (ARDS)
  • Bayesian inference and frequentist approach comparison
  • Bayesian learning and average US real GNP growth
  • Highest posterior density (HPD) region
  • Importance sampling computing marginal likelihood
  • MCMC class and Gibbs sampling algorithm
  • Ordinary least squares (OLS) regression
  • Primer on Bayesian inference
  • Primer on simulation methods
  • Simulation-based Bayesian econometric inference (SBBEI)

Cite this