marginal probability


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marginal probability

n
(Statistics) statistics (in a multivariate distribution) the probability of one variable taking a specific value irrespective of the values of the others
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The strength of influence is calculated on the basis of differences between the a posterior marginal probability of a child node, as a parent node changes [13].
We label this measure 'unconditional' as it represents the marginal probability of being at the ZLB at a given time period.
The inverse probability weight is the inverse of this density, stabilized the marginal probability of P[M.sub.2.5] in that city.
P-values are based on comparisons of the marginal probability of stool consistency at each time point.
In the case of clutch pack modeling, f ([x.sub.1] | [y.sub.1]) can be considered as the conditional probability of variable [x.sub.1] within the range [0, [y.sub.1]], given that [y.sub.1] takes a particular value according to its own marginal probability density function f ([y.sub.1]), which is defined within the entire sample space of [0, [y.sub.1+2+3]].
However, by substituting for Pr([y.sub.it] = 1|[x.sub.it], [[alpha].sub.i]) and Pr([y.sub.it] = 0|[x.sub.it], [[alpha].sub.i]) using the relative frequencies of intentions to watch (or not) any of the games live on TV, we are able to approximate the discrete change in the probability of TV viewership at each level of hwin, that is, the predictive marginal probability. The predicted probability is then calculated by subtracting the predictive marginal probability from each hwin-specific portion of TV viewership.
It allows the computation of the marginal probability of a node (component or event) by taking into account the interactions between the nodes of the network.
Then, the technology with the lower probability of loss but the higher marginal probability of loss provides more prevention efficiency so that more money should be spent to prevent this risk.
The first set of estimates reflects the marginal probability of estimating a refund amount at initial intake to the tax site (before filing), where 1 indicates that the tax filer provided a refund estimate ("estimators"), and 0 indicates that no estimate was provided.
Copulas offer a flexible way of describing the dependence structure of multivariate data independent of their marginal probability distributions.
Age has generally been found to have a nonlinear relationship with sport attendance, so the effect of age on the marginal probability should vary according to how old the head is.
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