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We measure the degree of transitivity in the transnational terrorism network over time using a conditional uniform graph (CUG) test.
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We addressed this question in a mouse lens model system using a conditional gene targeting approach.
Rainfall events are disaggregated using a conditional random walk on a dimensionless mass curve.
The stacked data was analysed using a conditional logit model.
The proposed study will use a conditional measure of risk.
Unlike the conditional probabilities of visible variables in Salakhutdinov et al. (2007), which used a conditional multinomial distribution, here, our conditional probability of visible variables in Equation (4) uses a conditional Bernoulli distribution.
Initiating the parameters (conditional probabilities) for each node at the beginning was achieved using a uniform distribution; and these changed with the data.
The significant variables were selected using a forward conditional method.
The data were collected using a uniform questionnaire.
Switching times were generated using a uniform distribution.
Data were collected using a uniform data sheet.
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