Model Selection and Parameter Estimation for an Improved Approximate Bayesian Computation Sequential Monte Carlo Algorithm

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">Logistic</td><td class="align_center">Gompertz</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">AIC</td><td class="align_center">7831.8</td><td class="align_center">43980</td></tr><tr><td class="align_left">BIC</td><td class="align_center">7832.7</td><td class="align_center">43981</td></tr><tr><td class="align_left">Operation time (s)</td><td class="align_center">151.48</td><td class="align_center">163.52</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>AIC, BIC, and operation time of two models.</div>

Discrete Dynamics in Nature and Society

tab5

Table 5

Table 5: Model Selection and Parameter Estimation for an Improved Approximate Bayesian Computation Sequential Monte Carlo Algorithm 