Research Article
Inference for Ecological Dynamical Systems: A Case Study of Two Endemic Diseases
Table 3
Posterior estimates of stochastic SIR model.
| | 10000 weeks of observations—Disease 1 | | Target | Disease value | Mean | Standard deviation posterior |
| | 3.70 | 3.69 | .042 | | .25 | .250 | .001 | | .10 | .107 | .021 | | .001 | .001000 | .000004 |
| | 1000 weeks of observations—Disease 2 | | Target | Disease value | Mean | Standard deviation posterior |
| | 14.7 | 14.70 | .015 | | .5 | .50 | .004 | | .10 | .170 | .136 | | .001 | .00100 | |
| | 10000 weeks of observations—Disease 2 | | Target | Disease value | Mean | Standard deviation posterior |
| | 14.7 | 14.72 | .20 | | .5 | .50 | .007 | | .10 | .11 | .032 | | .001 | .00100 | |
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