Household surveys suffer from persistent and growing underreporting. We propose a novel procedure to adjust reported survey incomes for underreporting by estimating a model of misreporting whose main ...
Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...
The loss of the central role of people in today’s complex global systems is the greatest danger of all. In Kenya and Amdo ...
Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...
One in five households earning $91,000 or more experienced food insecurity in the past 12 months, a report has found ...
Grief over the sudden death of a partner leads 1 in 6 surviving partners to experience such severe psychological distress ...
Data from World Inequality Report also showed top 10% of income-earners earn more than the other 90% ...
QVGE is a multiplatform graph editor written in C++/Qt. Its main goal is to make possible visually edit two-dimensional graphs in a simple and intuitive way. Please note that QVGE is not a replacement ...
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