Supervised network prediction for household statistics
针对行政数据中地址登记错误导致家庭统计偏差的问题，提出利用样本地址的调查信息，通过监督网络预测方法估计未抽样地址的家庭情况，并用挪威家庭登记数据验证了方法的优势。
Abstract Producing census-like household statistics is possible based on relevant data originated from the administrative sources. However, address registration errors generally cause biased results. Under the assumption that households can be identified by survey at a sample of addresses, we develop a supervised network prediction approach to households at the out-of-sample addresses. An application to real data from the Norwegian Household Register is used to demonstrate the advantages of the proposed modelling approach over the existing practical alternatives.