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Model conditions were assessed through analysis of marginal and conditional residuals.
Inference from such a BN needs to specify a great number of marginal and conditional probabilities.
If the network is trained on data sampled from a distribution, then marginal and conditional probability calculations may be made and samples from the distribution generated from the network.
Joint, marginal, and conditional densities.
For the diagnostic exam, you should be able to manipulate among joint, marginal and conditional probabilities.
Some basic properties are described, including simple two-parameter expressions for marginal and conditional clustering probabilities.
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Mardia's type I multivariate Pareto distribution has the attractive feature that both marginals and conditional distributions are Paretian in nature.
In addition, our analyses used a comprehensive analytical approach combining regression modelling and estimation of predictive margins and conditional marginal effects.
Multivariable logistic regression models were fitted and from the regression coefficients, predictive margins and conditional marginal effects were estimated to compare predicted probabilities of the outcome across different SEP levels.
From the regression coefficients we then estimated predictive margins and conditional marginal effects to compare predicted probabilities of the outcome across different SEP levels while accounting for all other variables in the model [ 40, 41].
We define the marginal entropy and conditional entropy as follows.
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