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Predicting Food Crises

Globally, more than 130 million people are estimated to be in food crisis. These humanitarian disasters are associated with severe impacts on livelihoods that can reverse years of development gains. The existing outlooks of crisis-affected population

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4612::8549a70975da1f24e3bb1d5d84a61f9d
https://research.vu.nl/en/publications/bffd3def-148e-4dcd-9bd4-f297a220abe9

Stochastic Modeling of Food Insecurity

Autor: Wang, Dieter, Andree, Bo Pieter Johannes, Chamorro, Andres Fernando, Girouard Spencer, Phoebe

Recent advances in food insecurity classification have made analytical approaches to predict and inform response to food crises possible. This paper develops a predictive, statistical framework to identify drivers of food insecurity risk with simulat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2456::68bff8f61cc99c694c15ef8423547ebb
http://documents.worldbank.org/curated/en/911801600788869914/Stochastic-Modeling-of-Food-Insecurity

Stochastic Modeling of Food Insecurity

Autor: Wang, D., Bo Andree, Andres Chamorro, Phoebe Spencer

Publikováno v: Vrije Universiteit Amsterdam
None
Wang, D, Andree, B P J, Chamorro, A & Spencer, P 2020 ' Stochastic Modeling of Food Insecurity ' Policy Research Working Papers, vol. 9413, World Bank, pp. 1 . < http://documents.worldbank.org/curated/en/911801600788869914/Stochastic-Modeling-of-Food-Insecurity >

Recent advances in food insecurity classification have made analytical approaches to predict and inform response to food crises possible. This paper develops a predictive, statistical framework to identify drivers of food insecurity risk with simulat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7a72e2d749025c05765b29a3b1924e77
https://research.vu.nl/en/publications/69d90b9e-7e59-4a43-8f50-00155b47ffc9