# conditional distribution

(redirected from Conditional probability distribution)
Also found in: Wikipedia.

## conditional distribution

[kən′dish·ən·əl dis·trə′byü·shən]
(statistics)
If W and Z are random variables with discrete values w1, w2,…, and z1, z2,…, the conditional distribution of W given Z = z is the distribution which assigns to wi, i = 1,2,…, the conditional probability of W = wi given Z = z.
Mentioned in ?
References in periodicals archive ?
The conditional probability distribution of prediction errors is modeled by a two-sided geometric distribution.
Each root node has prior probabilities and the conditional probability distribution (CPD) should be specified for each child node in the BNs.
Arrows pointing into a decision variable (decision node) show the information available at the time the decision is made and arcs pointing to a random variable (chance node) show the existence of a conditional probability distribution for the random variable.
Estimation of the conditional probability distribution provides the basis for the probabilistic forecasts.
Taking in account that conditional probability distribution of future states, given the present state and all past states, depends only upon the present state and not on any past states and the measurements are assumed to be conditionally independent given the states, the following recursive general equation for weights updating can be obtained [5]
The local uncertainty related to a specific location u is measured by the conditional probability distribution function F(u; z\(n)).
Value maximization ranks production plans not just by the first moment of the conditional probability distribution, but also by higher moments that reflect the riskiness of production plans.
theta] is the conditional probability distribution connected with every variable.
r] between the variables; (2) a set of conditional probability distributions P = {[p.
Table 2 summarizes the conditional probability distributions of R.
The representation consists of a set of local conditional probability distributions, combined with a set of assertions of conditional independence that allow us to construct the global joint distribution from the local distributions.

Site: Follow: Share:
Open / Close