• Graduate program
  • Research
  • Summer School
  • Events
    • Summer School
      • Sustainable Finance
      • Applied Public Policy Evaluation
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • Foundations of Machine Learning with Applications in Python
      • From preference to choice: The Economic Theory of Decision-Making
      • Gender in Society
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 16th Tinbergen Institute Annual Conference
    • Annual Tinbergen Institute Conference
  • News
  • Alumni
  • Magazine

15-042/III - The R-package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference


  • Authors
    Nalan Basturk, Maastricht University , the Netherlands; Stefano Grassi, University of Kent, United Kingdom; Lennart Hoogerheide, VU University Amsterdam, the Netherlands; Anne Opschoor, VU University Amsterdam, the Netherlands; Herman K. van Dijk, Erasmus University Rotterdam, the Netherlands
  • Publication date
    March 30, 2015
  • Keywords
    finite mixtures, Student-t densities, importance sampling, MCMC, Metropolis-Hastings algorithm, expectation maximization, Bayesian inference, R-software
  • JEL
    C01, C11, C87