Bayesian regression analysis using poly-t densities
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- DREZE, Jacques H., 1977. "Bayesian regression analysis using poly-t densities," LIDAM Reprints CORE 316, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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Cited by:
- Kleibergen, Frank & Zivot, Eric, 2003.
"Bayesian and classical approaches to instrumental variable regression,"
Journal of Econometrics, Elsevier, vol. 114(1), pages 29-72, May.
- Frank Kleibergen & Eric Zivot, 1998. "Bayesian and Classical Approaches to Instrumental Variable Regression," Working Papers 0063, University of Washington, Department of Economics.
- Frank Kleibergen & Eric Zivot, 2003. "Bayesian and Classical Approaches to Instrumental Variable Regression," Working Papers UWEC-2002-21-P, University of Washington, Department of Economics.
- Frank Kleibergen & Eric Zivot, 1998. "Bayesian and Classical Approaches to Instrumental Variable Regression," Discussion Papers in Economics at the University of Washington 0063, Department of Economics at the University of Washington.
- Kleibergen, F.R. & Zivot, E., 1998. "Bayesian and classical approaches to instrumental variable regression," Econometric Institute Research Papers EI 9835, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Frank Kleibergen & Eric Zivot, 1998. "Bayesian and Classical Approaches to Instrumental Variables Regression," Econometrics 9812002, University Library of Munich, Germany.
- Hoogerheide, Lennart F. & Kaashoek, Johan F. & van Dijk, Herman K., 2007.
"On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: An application of flexible sampling methods using neural networks,"
Journal of Econometrics, Elsevier, vol. 139(1), pages 154-180, July.
- HOOGERHEIDE, Lennart F. & KAASHOEK, Johan F. & VAN DIJK, Herman K., 2005. "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: An application of flexible sampling methods using neural networks," LIDAM Discussion Papers CORE 2005029, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- HOOGERHEIDE, Lennart F. & KAASHOEK, Johan F. & van DIJK, Herman K., 2007. "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks," LIDAM Reprints CORE 1922, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hoogerheide, L.F. & Kaashoek, J.F. & van Dijk, H.K., 2005. "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks," Econometric Institute Research Papers EI 2005-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Koop, Gary & Steel, Mark F J, 1994.
"A Decision-Theoretic Analysis of the Unit-Root Hypothesis Using Mixtures of Elliptical Models,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 12(1), pages 95-107, January.
- Koop, G. & Steel, M.F.J., 1991. "A decision theoretic analysis of the unit root hypothesis using mixtures of elliptical models," Other publications TiSEM 159b4dfe-e9af-420c-ad47-d, Tilburg University, School of Economics and Management.
- Koop, G. & Steel, M.F.J., 1991. "A decision theoretic analysis of the unit root hypothesis using mixtures of elliptical models," Discussion Paper 1991-50, Tilburg University, Center for Economic Research.
- Koop, G. & Steel, M.F.J., 1991. "A Decision Theoretic Analysis of the Unit Root Hypothesis Using Mixtures of Elliptical Models," Papers 9150, Tilburg - Center for Economic Research.
- Koop, Gary & Steel, Mark F.J., 1993. "A decision theoretic analysis of the unit root hypothesis using mixtures of elliptical models," DES - Working Papers. Statistics and Econometrics. WS 3706, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Andrea Silvestrini, 2010.
"Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration,"
Empirical Economics, Springer, vol. 39(1), pages 241-274, August.
- Andrea, SILVESTRINI, 2007. "Testing fiscal sustainability in Poland : a Bayesian analysis of cointegration," Discussion Papers (ECON - Département des Sciences Economiques) 2007040, Université catholique de Louvain, Département des Sciences Economiques.
- SILVESTRINI, Andrea, 2010. "Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration," LIDAM Reprints CORE 2220, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- SILVESTRINI, Andrea, 2007. "Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration," LIDAM Discussion Papers CORE 2007080, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Strachan, Rodney W. & Inder, Brett, 2004. "Bayesian analysis of the error correction model," Journal of Econometrics, Elsevier, vol. 123(2), pages 307-325, December.
- Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1995.
"Bayesian long-run prediction in time series models,"
Journal of Econometrics, Elsevier, vol. 69(1), pages 61-80, September.
- Koop, Gary & Osiewalski, Jacek & Steel, Mark F.J., 1992. "Bayesian long-run prediction in time series models," UC3M Working papers. Economics 2822, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Balaev , Alexey, 2011. "Multivariate skewed t-distribution with degrees of freedom vector and its application to financial modeling," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 23(3), pages 79-97.
- John C. Chao & Peter C.B. Phillips, 1996. "Bayesian Posterior Distributions in Limited Information Analysis of the Simultaneous Equations Model Using the Jeffreys Prior," Cowles Foundation Discussion Papers 1137, Cowles Foundation for Research in Economics, Yale University.
- Bauwens, L. & Dijk, H. K., 1989. "Bayesian Limited Information Analysis Revisited," Econometric Institute Archives 272386, Erasmus University Rotterdam.
- Warne, Anders, 2006. "Bayesian inference in cointegrated VAR models: with applications to the demand for euro area M3," Working Paper Series 692, European Central Bank.
- Chao, J. C. & Phillips, P. C. B., 1998. "Posterior distributions in limited information analysis of the simultaneous equations model using the Jeffreys prior," Journal of Econometrics, Elsevier, vol. 87(1), pages 49-86, August.
- Tullio Gregori, 1998. "A Bayesian approach to analyze regional elasticities," ERSA conference papers ersa98p226, European Regional Science Association.
- Geweke, John & Durham, Garland, 2019. "Sequentially adaptive Bayesian learning algorithms for inference and optimization," Journal of Econometrics, Elsevier, vol. 210(1), pages 4-25.
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