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On the evaluation of poly-t density functions

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  • Richard, J. -F.
  • Tompa, H.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 12 (1980)
Issue (Month): 3 (April)
Pages: 335-351

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Handle: RePEc:eee:econom:v:12:y:1980:i:3:p:335-351

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Web page: http://www.elsevier.com/locate/jeconom

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Cited by:
  1. W.E. Griffiths & Ma. Rebecca Valenzuela, 2004. "Gibbs Samplers for a Set of Seemingly Unrelated Regressions," Department of Economics - Working Papers Series 912, The University of Melbourne.
  2. Koop, G. & Strachan, R.W. & van Dijk, H.K. & Villani, M., 2005. "Bayesian approaches to cointegratrion," Econometric Institute Research Papers EI 2005-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  3. Chib, S. & Osiewalski, J. & Steel, M.F.J., 1990. "Regression models under competing covariance matrices: A Bayesian perspective," Discussion Paper 1990-63, Tilburg University, Center for Economic Research.
  4. Frank Kleibergen & Herman K. van Dijk, 1998. "Bayesian Simultaneous Equations Analysis using Reduced Rank Structures," Tinbergen Institute Discussion Papers 98-025/4, Tinbergen Institute.
  5. repec:dgr:uvatin:2098025 is not listed on IDEAS
  6. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.
  7. Christophe Planas & Alessandro Rossi & Gabriele Fiorentini, 2008. "The marginal likelihood of Structural Time Series Models, with application to the euroareaa nd US NAIRU," Working Paper Series 21-08, The Rimini Centre for Economic Analysis, revised Jan 2008.
  8. Steel, M.F.J., 1988. "Seemingly unrelated regression equation systems under diffuse stochastic prior information: A recursive analytical approach," Discussion Paper 1988-5, Tilburg University, Center for Economic Research.

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