conditional probability

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con·di·tion·al prob·a·bil·i·ty

a probability quoted when the range of choices admitted is restricted, that is, conditional; thus, the probability of the child of a color-blind man inheriting the gene is 1/2 if the child is female and almost 0 if the child is male.
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(22) Of course, the conditional probabilities for actions in the exhaustive set of alternatives will be informed by the probable future actions of the agent, which might be heinous.
Each one of these evaluations includes the computation of 2*6+1=13 conditional probabilities of failure, needed by the sparse grid integration to compute the total probability integral (Equations 2 and 30).
Item Statistical parameter Mean [C.sub.v] [C.sub.s]/ 1% [C.sub.v] [Q.sub.max] ([m.sup.3]/s) 31740 0.4 1 64650 Item Designed P value 2% 5% 10% 20% 50% [Q.sub.max] ([m.sup.3]/s) 60200 53770 48320 42020 30910 Table 8: Simulation parameters and conditional probabilities that the Changheba reservoir dam will overtop due to a dam-break flood from the Houziyan reservoir.
Even though this pattern was evident for students in substantially separate placements, it is important to note that low-income students in inclusive placements had higher conditional probabilities for graduation in any year after high school entry than low-income students in substantially separate placements.
(3.) Malhotra and Snowberg (2009) also use prediction markets to assess the probability of winning the general election conditional on winning the 2008 nomination, however they only examine point estimates of conditional probabilities over the course of the primaries as opposed to running regressions over a longer period of time as we do in this paper.
The conditional probabilities of system failure in column 2 of the table are exact and the approximation is only in column 3, where the probability of the condition is approximated by the latency of B alone.
Tables 3-6 present the conditional probabilities calculated for the manufacturing sectors covered by Pavitt's (1984) taxonomy.
This is done by use of the 'chain rule', which says in a BN the full joint probability distribution is the product of all conditional probabilities specified in the BN [1]:
It concerned conditional probabilities or 'what if?' problems.
Although a move toward conditional probabilities of audit is occasionally implied, even if unintentionally, theorists have yet to incorporate the concept fully into utility models of tax compliance.
The probability distributions of a BN is the product of the conditional probabilities of all the variables of a BN, conditioned only on its parents (Pearl 1985).
The conditional probabilities for the three facies types were generated on a 4m by 4m grid and are given in Figure 3.

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