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1
Bayesian multiscale modeling for aggregated disease mapping..:
, In:
Proceedings of the Third ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health
,
Aregay, Mehreteab
;
Lawson, Andrew B.
;
Faes, Christel
. - p. 45-48 , 2014
Link:
https://dl.acm.org/doi/10.1145/2676629.2676640
RT T1
Proceedings of the Third ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health
: T1
Bayesian multiscale modeling for aggregated disease mapping data
UL https://suche.suub.uni-bremen.de/peid=acm-2676640&Exemplar=1&LAN=DE A1 Aregay, Mehreteab A1 Lawson, Andrew B. A1 Faes, Christel A1 Kirby, Russell PB ACM YR 2014 K1 Watanabe-Akaike or widely applicable information criterion (WAIC) K1 deviance information criterion (DIC) K1 predictive accuracy K1 scaling effect K1 shared random effect model K1 Mathematics of computing K1 Probability and statistics K1 Statistical paradigms K1 Statistical graphics SP 45 OP 48 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2676629.2676640 DO https://dl.acm.org/doi/10.1145/2676629.2676640 SF ELIB - SuUB Bremen
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