Table 6 ESS for 3000 iterations of the two Markov chain Monte Carlo algorithms with the unimodal, bimodal, QTLMAS and field data sets
From: Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters
Learning phase | Adapted phase | |||||
|---|---|---|---|---|---|---|
σa2 | σd2 | σe2 | σa2 | σd2 | σe2 | |
Unimodal data set | ||||||
ESS | 10.36 | 8.76 | 29.56 | 176.71 | 318.15 | 191.81 |
Bimodal data set | ||||||
ESS | 12.82 | 12.10 | 11.27 | 240.56 | 159.68 | 176.44 |
QTLMAS data set | ||||||
ESS | 41.24 | 3.58 | 116.98 | 242.90 | 93.37 | 204.64 |
Learning phase | Adapted phase | |||||
|---|---|---|---|---|---|---|
σ a 2 | σ g 2 × e | σ e 2 | σ a 2 | σ g 2 × e | σ e 2 | |
Field data (Bayes_ID) | ||||||
ESS | 178.28 | 21.35 | 27.85 | 125.72 | 196.51 | 133.22 |
