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Research Article

The impact of scholarship inflows on achieving food security: what can Bayesian networks tell us?

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References

  • Abdi, H., and L. J. Williams. 2010. “Principal Component Analysis.” Wiley Interdisciplinary Reviews. Computational Statistics 2 (4): 433–459. doi:10.1002/wics.101.
  • Ahelegbey, D. F. 2015. “Bayesian Graphical Models with Economic and Financial Applications.”
  • Ahelegbey, D. F. 2016. “The Econometrics of Bayesian Graphical Models: A Review with Financial Application.” University Ca’Foscari of Venice, Dept. of Economics Research Paper Series No, 13.
  • Ahelegbey, D. F., M. Billio, and R. Casarin. 2016. “Bayesian Graphical Models for Structural Vector Autoregressive Processes.” Journal of Applied Econometrics 31 (2): 357–386. doi:10.1002/jae.2443.
  • Al-Moussa, Y. 2009. “La Construction de Réseaux Bayésiens par l’Algorithme Génétique.” Research Journal of Aleppo University, 58.
  • Assembly, U. G. 2015. Transforming Our World: The 2030 Agenda for Sustainable Development. Vol. 1. New York: United Nations.
  • Barling, D., and J. Fanzo. 2018. Advances in Food Security and Sustainability. Academic Press, Cambridge, MA 02139, United States.
  • Ben Slimane, M., M. Huchet-Bourdon, and H. Zitouna. 2016. “The Role of Sectoral FDI in Promoting Agricultural Production and Improving Food Security.” International Economics 145: 50–65. doi:10.1016/j.inteco.2015.06.001.
  • Bojduj, B. N. 2009. “Extraction of Causal-association Networks from Unstructured Text Data.” Master’s Theses and Project Reports, 138.
  • Bouckaert, R. R. 2004. “Bayesian Network Classifiers in Weka.”
  • Cheng, J., D. A. Bell, and W. Liu. 1997. “An Algorithm for Bayesian Belief Network Construction from Data.” proceedings of AI & STAT’97. Citeseer.
  • Cheng, J., R. Greiner, J. Kelly, D. Bell, and W. Liu. 2002. “Learning Bayesian Networks from Data: An Information-theory Based Approach.” Artificial Intelligence 137 (1–2): 43–90. doi:10.1016/S0004-3702(02)00191-1.
  • Chow, C., and C. Liu. 1968. “Approximating Discrete Probability Distributions with Dependence Trees.” IEEE Transactions on Information Theory 14 (3): 462–467. doi:10.1109/TIT.1968.1054142.
  • Cooper, G. F., and E. Herskovits. 1992. “A Bayesian Method for the Induction of Probabilistic Networks from Data.” Machine Learning 9 (4): 309–347. doi:10.1007/bf00994110.
  • Costa, L. V., M. F. M. Gomes, and D. A. S. de Lelis. 2013. “Food Security and Agricultural Productivity in Brazilian Metropolitan Regions.” Procedia Economics and Finance 5: 202–211. doi:10.1016/S2212-5671(13)00026-9.
  • Dassin, J. R., R. R. Marsh, and M. Mawer. 2017. International Scholarships in Higher Education: Pathways to Social Change. Springer, Cham, Switzerland.
  • de Campos, C. P., and Q. Ji. 2010. “Properties of Bayesian Dirichlet Scores to Learn Bayesian Network Structures.” Twenty-Fourth AAAI Conference on Artificial Intelligence, Atlanta, Georgia, USA.
  • De Muro, P., and F. Burchi. 2007. “Education for Rural People and Food Security.” A Cross Country Analysis. Rome: Food and Agricultural Organization of the United Nations.
  • Del Sagrado, J., and S. Moral. 2003. “Qualitative Combination of Bayesian Networks.” International Journal of Intelligent Systems 18 (2): 237–249. doi:10.1002/int.10086.
  • FAO. 1996. “Rome Declaration on World Food Security and World Food Summit Plan of Action: World Food Summit 13-17 November 1996.” Rome, Italy: FAO.
  • FAO. 2006. “Food Security.” Policy Brief, 2.
  • Gemela, J. 2001. “Financial Analysis Using Bayesian Networks.” Applied Stochastic Models in Business and Industry 17 (1): 57–67. doi:10.1002/asmb.422.
  • Greenland, S., and J. Pearl. 2014. “Causal Diagrams.” Wiley StatsRef: Statistics Reference Online, 1–10. doi:10.1002/9781118445112.stat03732.
  • Hausman, J. A. 1978. “Specification Tests in Econometrics.” Econometrica: Journal of the Econometric Society 46 (6): 1251–1271. doi:10.2307/1913827.
  • Institute, W. B. 2008. “Joint Japan/World Bank Graduate Scholarship Program: Tracer Study 8.” Washington, DC: World Bank.
  • Lauritzen, S. L. 2001. “Causal Inference from Graphical Models.” Complex stochastic systems, 63–107.
  • Mansukhani, V., and N. Handa. 2013. Opening Doors: Ten Years of the Ford Foundation International Fellowships Program in India. New Delhi: Ford Foundation International Fellowships Program.
  • Margaritis, D. 2003. “Learning Bayesian Network Model Structure from Data.” Carnegie-Mellon Univ Pittsburgh Pa School of Computer Science.
  • Mawer, M., S. Quraishi, and R. Day. 2016. Successes and Complexities: The Outcomes of UK Commonwealth Scholarships 1960–2012. London: Commonwealth Scholarship Commission in the UK.
  • Moussa, Y. A., Z. A. Ahmad, and M. I. Alhussam. 2015. “Role of Independent Tests in Improvement a Building Bayesian Networks.” Research Journal of Aleppo University 16. doi:10.13140/RG.2.2.22962.71368.
  • Mutisya, M., M. W. Ngware, C. W. Kabiru, and N.-B. Kandala. 2016. “The Effect of Education on Household Food Security in Two Informal Urban Settlements in Kenya: A Longitudinal Analysis.” Food Security 8 (4): 743–756. doi:10.1007/s12571-016-0589-3.
  • Ogundari, K. 2014. “The Paradigm of Agricultural Efficiency and Its Implication on Food Security in Africa: What Does Meta-analysis Reveal?” World Development 64: 690–702. doi:10.1016/j.worlddev.2014.07.005.
  • Pearl, J. 2009. Causality. Cambridge university press, New York, US.
  • Perry, B. B. 2003. “A Genetic Algorithm for Learning Bayesian Network Adjacency Matrices from Data.” Kansas State University.
  • Robinson, R. W. 1977. “Counting Unlabeled Acyclic Digraphs.” Combinatorial Mathematics V, 28–43. Springer.
  • Spirtes, P., C. Glymour, and R. Scheines. 2000. Causation, Prediction, and Search. 2nd ed. Cambridge, MA: MIT Press.
  • Tsagris, M. 2019. “Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation.” Applied Artificial Intelligence 33 (2): 101–123. doi:10.1080/08839514.2018.1526760.
  • Yusuf, S., W. Saint, and K. Nabeshima. 2009. Accelerating Catch-up: Tertiary Education for Growth in sub-Saharan Africa. World bank, Washington, USA.
  • Yang, S., and K.-C. Chang. 2002. “Comparison of Score Metrics for Bayesian Network Learning.” IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans 32 (3): 419–428. doi:10.1109/TSMCA.2002.803772.
  • Yusuf, S., W. Saint, and K. Nabeshima. 2009. Accelerating Catch-up: Tertiary Education for Growth in Sub-Saharan Africa. World bank, Washington, USA.

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