Bayesian Demographic Estimation and Forecasting - Bryant, John (University of Exeter, UK); Zhang, Junni L.
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Demographic estimation and forecasting is an important practical problem. Population projections are used to guide billions of dollars of expenditure on things such as roads, housing, shopping complexes, and hospitals. Policy evaluations require detailed estimates of populations at risk, or of demographic outcomes such as mortality.

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Produktbeschreibung
Demographic estimation and forecasting is an important practical problem. Population projections are used to guide billions of dollars of expenditure on things such as roads, housing, shopping complexes, and hospitals. Policy evaluations require detailed estimates of populations at risk, or of demographic outcomes such as mortality.
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Autorenporträt
John Bryant is a senior researcher at Statistics New Zealand. He has previously worked at the New Zealand Treasury, and at universities in New Zealand and Thailand. He has consulted for many international organizations, including UNICEF, the FAO, and the World Bank. His research interests include applied demography, data science, and Bayesian statistics. Junni L. Zhang is an associate professor of statistics at Guanghua School of Management, Peking University. Her research interests include Bayesian statistics, text mining, and causal inference. She has extensive experience teaching undergraduate, graduate, MBA and executive courses, and is the author of Data Mining and Its Applications (in Chinese).