
handle: 1871/9534 , 10419/85883
In a Bayesian analysis, different models can be compared on the basis of the expected or marginal likelihood they attain. Many methods have been devised to compute the marginal likelihood, but simplicity is not the strongest point of most methods. At the same time, the precision of methods is often questionable.
ddc:330, Bayesian analysis., Marginal likelihood; Bayesian analysis., C52, C63, Bayes-Statistik, Marginal likelihood, C11, Marginalanalyse, Theorie, jel: jel:C52, jel: jel:C63, jel: jel:C11
ddc:330, Bayesian analysis., Marginal likelihood; Bayesian analysis., C52, C63, Bayes-Statistik, Marginal likelihood, C11, Marginalanalyse, Theorie, jel: jel:C52, jel: jel:C63, jel: jel:C11
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
