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Table 2 Model validation summary for the spatial (s) and non-spatial (ns) models

From: Geographical patterns and predictors of malaria risk in Zambia: Bayesian geostatistical modelling of the 2006 Zambia national malaria indicator survey (ZMIS)

Model CI (width) KL χ2
Linear (ns) 60% (0.58) 21.49 4867
Linear (s) 50% (0.59) 22.58 4459
Categorical (ns) 60% (0.69) 30.81 6943
Categorical (s) 60% (0.68) 30.33 6143
P-spline (ns) 60% (0.61) 23.11 8194
P-spline (s) 65% (0.61) 22.29 7417
B-spline (ns) 70% (0.72) 27.59 26698
B-spline (s) 70% (0.72) 28.85 26846
  1. Comparison of Bayesian credible intervals (CI) of 95% probability coverage with their corresponding width, Kullback-Leibler divergences (KL) and the χ2-test analogue on 20 test locations.