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Using the BACC Software for Bayesian Inference

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Author Info

  • William McCausland

    ()
    (University of Minnesota)

Abstract

The BACC software provides its users with tools for Bayesian Analysis, Computation, and Communications. A new version of the software, described here, implements these tools as extensions to popular mathematical applications such as GAUSS or MATLAB. The user has available, within the application, special-purpose commands for posterior simulation and related tasks alongside familiar built-in commands for matrix computation, graphics, program flow control, and I/O. Examples illustrate the use of the software within GAUSS. Several models are currently available, including a normal linear model. Developers can extend the software by specifying new models.

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Bibliographic Info

Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 1999 with number 833.

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Date of creation: 01 Mar 1999
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Handle: RePEc:sce:scecf9:833

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Postal: CEF99, Boston College, Department of Economics, Chestnut Hill MA 02467 USA
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Cited by:
  1. Takashi Kano & James M. Nason, 2009. "Business Cycle Implications of Internal Consumption Habit for New Keynesian Model," CARF F-Series CARF-F-151, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  2. McCAUSLAND, William, 2004. "Time Reversibility of Stationary Regular Finite State Markov Chains," Cahiers de recherche 2004-07, Universite de Montreal, Departement de sciences economiques.
  3. Bryant, Henry L. & Davis, George C., 2001. "Beyond The Model Specification Problem: Model And Parameter Averaging Using Bayesian Techniques," 2001 Annual meeting, August 5-8, Chicago, IL 20689, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  4. Kano, Takashi & Nason, James M., 2012. "Appendix: Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Discussion Papers 2012-08, Graduate School of Economics, Hitotsubashi University.

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