Information processing and Bayesian analysis
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Citations
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- Eduardo Ley, 2001. "Statistical Inference as a Bargaining Game," Econometrics 0110001, University Library of Munich, Germany, revised 13 Jan 2006.
- Mr. Eduardo Ley, 2002. "Statistical Inference as a Bargaining Game," IMF Working Papers 2002/081, International Monetary Fund.
- Smith, Aaron & Naik, Prasad A. & Tsai, Chih-Ling, 2006.
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- Smith, Aaron D. & Naik, Prasad A. & Tsai, Chih-Ling, 2005. "Markov-Switching Model Selection Using Kullback-Leibler Divergence," Working Papers 11976, University of California, Davis, Department of Agricultural and Resource Economics.
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- Antonio Ciccone & Marek Jarocinski, 2007. "Determinants of economic growth: Will data tell?," Economics Working Papers 1052, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2009.
- Antonio Ciccone & Marek Jarocinski, 2010. "Determinants of Economic Growth: Will Data Tell?," Working Papers 1009, BBVA Bank, Economic Research Department.
- Marek Jarocinski & Antonio Ciccone, 2009. "Determinants of Economic Growth: Will Data Tell?," Working Papers 2009-36, FEDEA.
- Ciccone, Antonio & Jarociński, Marek, 2008. "Determinants of economic growth: will data tell?," Working Paper Series 852, European Central Bank.
- Ciccone, Antonio & Jarocinski, Marek, 2007. "Determinants of Economic Growth: Will Data Tell?," CEPR Discussion Papers 6544, C.E.P.R. Discussion Papers.
- Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.
- Nicolas Bousquet, 2010. "Eliciting vague but proper maximal entropy priors in Bayesian experiments," Statistical Papers, Springer, vol. 51(3), pages 613-628, September.
- Lahiri, Kajal & Sheng, Xuguang, 2010.
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- Kajal Lahiri & Xuguang Sheng, 2009. "Learning and Heterogeneity in GDP and Inflation Forecasts," Discussion Papers 09-05, University at Albany, SUNY, Department of Economics.
- Lahiri, Kajal & Sheng, Xuguang, 2009. "Learning and heterogeneity in GDP and inflation forecasts," MPRA Paper 21448, University Library of Munich, Germany.
- Komunjer, Ivana & Ragusa, Giuseppe, 2016. "Existence And Characterization Of Conditional Density Projections," Econometric Theory, Cambridge University Press, vol. 32(4), pages 947-987, August.
- Wang, Zitian & Wang, Lili & Tan, Shaohua, 2008. "Emergent and spontaneous computation of factor relationships from a large factor set," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3939-3959, December.
- Sylvia Gottschalk, 2016. "Entropy and credit risk in highly correlated markets," Papers 1604.07042, arXiv.org.
- Sourish Das & Dipak K. Dey, 2013. "On Dynamic Generalized Linear Models with Applications," Methodology and Computing in Applied Probability, Springer, vol. 15(2), pages 407-421, June.
- Gottschalk, Sylvia, 2017. "Entropy measure of credit risk in highly correlated markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 11-19.
- Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.
- Zellner, Arnold, 2004. "To test or not to test and if so, how?: Comments on "size matters"," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 581-586, November.
- Bernd Kraan & Tim Bedford, 2005. "Probabilistic Inversion of Expert Judgments in the Quantification of Model Uncertainty," Management Science, INFORMS, vol. 51(6), pages 995-1006, June.
- Golan, Amos, 2002. "Information and Entropy Econometrics--Editor's View," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 1-15, March.
- Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.
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