Tutorial on kernel estimation of continuous spatial and spatiotemporal relative risk.
Kernel smoothing is a highly flexible and popular approach for estimation of probability density and intensity functions of continuous spatial data. In this role, it also forms an integral part of estimation of functionals such as the density-ratio or "relative risk" surface. Originally developed wi...
| Published in: | Statistics in Medicine Vol. 37; no. 7; pp. 1191 - 1222 |
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| Main Authors: | , , |
| Format: | research Journal Article |
| Published: |
Wiley-Blackwell
3/30/2018
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| Online Access: | View this record in EBSCOhost |