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A random dependency between two nodes can be found where a single arrow connects both nodes, a double arrow shows that there is a logical relationship.
When there was a strong missing at random dependency, the KS p-values were very small, regardless of whether or not the MI estimates were biased; so that the KS test was not able to discriminate between imputed variables that required further investigation, and those that did not.
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We describe the strategy for constructing such a method, discuss generalization for cases with time dependency, random correlated coefficients, non-conservative form and implementation issues.
To this effect, we model the spatial impact of the disaster on network links by random failures with dependency such that failure of a link induces failure of nearby links that are structurally more vulnerable.
The probabilistic Bayesian method based on Markov Random Field incorporates dependency structure of the gene networks as the prior to the model.
The probabilistic Bayesian method CMRF based on Markov Random Field incorporates dependency structure of the gene networks as the prior to the model.
Such distributions are always relevant when outcomes depend on continuously distributed random variables and the dependency is defined by a piecewise continuous function.
There are several measurements of correlation, or dependency, between random variables.
A copula is defined as a multivariate probability distribution where the marginal probability distribution of each variable is uniform and is used to describe the dependency between random variables [22, 29 33].
Nevertheless, BA is relatively weak in local search activities due to its dependency on random search [ 15].
The PLCL2*T alleles, NF-kB*G alleles, and IRF8*A alleles were considered binary random variables, and the dependency of disease on pairwise combinations of these covariates was tested with a logistic regression model.
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