Estimating the Intensity of a Spatial Point Process from Locations Coarsened by Incomplete Geocoding

DOI10.1111/J.1541-0420.2007.00870.XzbMath1132.62082OpenAlexW2064164163WikidataQ48594012 ScholiaQ48594012MaRDI QIDQ5450489

Dale L. Zimmerman

Publication date: 20 March 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2007.00870.x

zbMATH Keywords

missing datacoarsened dataspatial epidemiologygeocodinggeographic bias

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (3)

Reduced-bias estimation of spatial autoregressive models with incompletely geocoded data ⋮ Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty ⋮ Estimating spatial variation in disease risk from locations coarsened by incomplete geocoding

Cites Work

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• Local likelihood density estimation for interval censored data
• Kernel density estimation for length biased data
• A Kernel Method for Smoothing Point Process Data
• Weighted Distributions and Size-Biased Sampling with Applications to Wildlife Populations and Human Families
• Applied Spatial Statistics for Public Health Data
• Ignorability and Coarse Data: Some Biomedical Examples

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