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Ying Lin

College of Environment and Resources, Fuzhou University

United States

SCHOLARLY PAPERS

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Scholarly Papers (1)

1.

A Downscaling Approach to Compare COVID-19 Count Data from Databases Aggregated at Different Spatial Scales

Number of pages: 34 Posted: 16 Jul 2020
University of Oxford - Big Data Institute (BDI), Department of Statistics, LMU Munich, Department of Epidemiology and Biostatistics, St Mary’s Campus, Imperial College London, St. Andrew’s University, College of Environment and Resources, Fuzhou University, College of Environment and Resources, Fuzhou University, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Center for Data Science, Zhejiang University, Center for Data Science, Zhejiang University, Department of Statistics and Econometrics, Georg-August-Universität Göttingen and Center for Data Science, Zhejiang University
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Abstract:

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COVID-19; Bayesian statistics; downscaling model; spatial statistics; disaggregated data