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Table 6 Summary of the sensitivity analysis of the choice of hyper-parameters

From: Bayesian spatial analysis of childhood diseases in Zimbabwe

  Using data on childhood diarrhoea from the 1999 survey Using data on childhood cough from the 2005/6 survey Using data on childhood fever from the 2010/11 survey
a = 0.001 a = 0.01 a = 0.5 a = 1 a = 0.001 a = 0.01 a = 0.5 a = 1 a = 0.001 a = 0.01 a = 0.5 a = 1
b = 0.001 b = 0.01 b = 0.0005 b = 0.005 b = 0.001 b = 0.01 b = 0.0005 b = 0.005 b = 0.001 b = 0.01 b = 0.0005 b = 0.005
Spatial effects             
f str (s), τ 2 str 0.005 0.008 0.002 0.002 0.011 0.017 0.004 0.003 0.019 0.023 0.005 0.004
f unstr (s), τ 2 unstr 0.002 0.004 0.001 0.001 0.005 0.006 0.003 0.003 0.006 0.009 0.003 0.003
Smooth functions             
f1(Childs age), τ 21 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.000 0.000 0.001 0.000 0.000
f2(Mothers age), τ 22 0.001 0.002 0.001 0.001 0.001 0.002 0.000 0.000 0.012 0.018 0.006 0.003