A New Scalable Bayesian Network Learning Algorithm with Applications to Economics
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DOI: 10.1007/s10614-020-10065-7
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- Theophilos Papadimitriou & Periklis Gogas & Georgios Sarantitis, 2016.
"Convergence of European Business Cycles: A Complex Networks Approach,"
Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 97-119, February.
- Theophilos Papadimitriou & Periklis Gogas & Georgios-Antonios Sarantitis, 2014. "Convergence of European Business Cycles: A Complex Networks Approach," Working Paper series 35_14, Rimini Centre for Economic Analysis.
- Angelo Mele, 2017. "A Structural Model of Dense Network Formation," Econometrica, Econometric Society, vol. 85, pages 825-850, May.
- Ran Spiegler, 2016.
"Bayesian Networks and Boundedly Rational Expectations,"
The Quarterly Journal of Economics, Oxford University Press, vol. 131(3), pages 1243-1290.
- Spiegler, Ran, 2014. "Bayesian Networks and Boundedly Rational Expectations," CEPR Discussion Papers 10062, C.E.P.R. Discussion Papers.
- Ran Spiegler, 2014. "Bayesian Networks and Boundedly Rational Expectations," Discussion Papers 1417, Centre for Macroeconomics (CFM).
- Spiegler, Ran, 2014. "Bayesian networks and boundedly rational expectations," LSE Research Online Documents on Economics 57994, London School of Economics and Political Science, LSE Library.
- Spiegler, Ran, 2014. "Bayesian Networks and Boundedly Rational Expectations," Foerder Institute for Economic Research Working Papers 275828, Tel-Aviv University > Foerder Institute for Economic Research.
- Chen, Pu & Chihying, Hsiao, 2007.
"Learning Causal Relations in Multivariate Time Series Data,"
Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-43.
- Chihying, Hsiao & Chen, Pu, 2007. "Learning Causal Relations in Multivariate Time Series Data," Economics Discussion Papers 2007-15, Kiel Institute for the World Economy (IfW Kiel).
- Thomas Berger & Christian Troost, 2014. "Agent-based Modelling of Climate Adaptation and Mitigation Options in Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 323-348, June.
- Ahelegbey, Daniel Felix, 2015. "The Econometrics of Bayesian Graphical Models: A Review With Financial Application," MPRA Paper 92634, University Library of Munich, Germany, revised 25 Apr 2016.
- Peter G. Fennell & David J. P. O’Sullivan & Antoine Godin & Stephen Kinsella, 2016. "Is It Possible to Visualise Any Stock Flow Consistent Model as a Directed Acyclic Graph?," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 307-316, August.
- Theophilos Papadimitriou & Periklis Gogas & Georgios Sarantitis, 2016.
"Convergence of European Business Cycles: A Complex Networks Approach,"
Computational Economics,
Springer;Society for Computational Economics, vol. 47(2), pages 97-119, February.
- Theophilos Papadimitriou & Periklis Gogas & Georgios Antonios Sarantitis, 2016. "Convergence of European Business Cycles: A Complex Networks Approach," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 97-119, February.
- Theophilos Papadimitriou & Periklis Gogas & Georgios-Antonios Sarantitis, 2014. "Convergence of European Business Cycles: A Complex Networks Approach," Working Paper series 35_14, Rimini Centre for Economic Analysis.
- Georgios Antonios Sarantitis & Theophilos Papadimitriou & Periklis Gogas, 2018.
"A Network Analysis of the United Kingdom’s Consumer Price Index,"
Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 173-193, February.
- Sarantitis, Georgios & Papadimitriou, Theophilos & Gogas, Periklis, 2015. "A Network Analysis of the United Kingdom’s Consumer Price Index," DUTH Research Papers in Economics 1-2016, Democritus University of Thrace, Department of Economics.
- Andrew Sanford & Imad Moosa, 2015. "Operational risk modelling and organizational learning in structured finance operations: a Bayesian network approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(1), pages 86-115, January.
- Gupta, Sumeet & Kim, Hee W., 2008. "Linking structural equation modeling to Bayesian networks: Decision support for customer retention in virtual communities," European Journal of Operational Research, Elsevier, vol. 190(3), pages 818-833, November.
- Scutari, Marco, 2010. "Learning Bayesian Networks with the bnlearn R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(i03).
- Vincent Boucher & Ismael Mourifié, 2017. "My friend far, far away: a random field approach to exponential random graph models," Econometrics Journal, Royal Economic Society, vol. 20(3), pages 14-46, October.
- Hosseini, Seyedmohsen & Barker, Kash, 2016. "A Bayesian network model for resilience-based supplier selection," International Journal of Production Economics, Elsevier, vol. 180(C), pages 68-87.
- Barton, D.N. & Saloranta, T. & Moe, S.J. & Eggestad, H.O. & Kuikka, S., 2008. "Bayesian belief networks as a meta-modelling tool in integrated river basin management -- Pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin," Ecological Economics, Elsevier, vol. 66(1), pages 91-104, May.
- Petre Caraiani, 2013. "Using Complex Networks to Characterize International Business Cycles," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-13, March.
- Häger, David & Andersen, Lasse B., 2010. "A knowledge based approach to loss severity assessment in financial institutions using Bayesian networks and loss determinants," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1635-1644, December.
- Pu Chen & Chih-Ying Hsiao, 2010. "Causal Inference for Structural Equations: With an Application to Wage-Price Spiral," Computational Economics, Springer;Society for Computational Economics, vol. 36(1), pages 17-36, June.
- R. G. Cowell & R. J. Verrall & Y. K. Yoon, 2007. "Modeling Operational Risk With Bayesian Networks," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(4), pages 795-827, December.
- Chee Kian Leong, 2016. "Credit Risk Scoring with Bayesian Network Models," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 423-446, March.
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Causality; Bayesian networks; Economics data;All these keywords.
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