We get posterior estimates of corresponding gesture.
This constitutes the posterior estimates of Φ lj.
Furthermore, it is also of crucial importance to have prior and posterior estimates for such methods.
Table 3 Posterior estimates for the fixed effects parameters for under-five mortality.
Bar graph shows the posterior estimates of a mental state as well as the associated gesture.
After, convergence and accuracy of posterior estimates are attained and summarizing the posterior statistics is achievable.
Using both a deterministic and a stochastic approach, we obtain posterior estimates of the prevalence of mixed infection.
In the second step, posterior estimates of the variance components are obtained from the unit level model.
The SPKF is run in the forward direction on the interval to compute the forward posterior estimates.
Table 1 shows the posterior estimates for increases of sizes +2 and +6 in the process mean.
This implies convergence and accuracy of posterior estimates are attained and the model is appropriate to estimate posterior statistics.
