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Bayesian Methods for Incorporating Livelihood and Poverty Issues into Development PlanningThe goal of the project is to develop new ways to incorporate livelihoods into quantitative planning models, especially water resources planning.
This NOVA-funded project is pushing forward work pioneered in the Challenge Programme on Water and Food Mekong Basin Focal Project. The approach uses Bayesian statistical analysis in order to capture the uncertainties and variability that are inherent in socio-ecological systems.
Kemp-Benedict, E., Chadwick, M. and Krittasudthacheewa, C. (2008). Bayesian methods for livelihood, water and poverty analysis. Proceedings of the 2nd International Forum on Water and Food. Addis Ababa, Ethiopia, November 10-14.