conditional distribution

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.
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By capturing the full conditional distribution rather than a single estimate, the method can directly characterize the uncertainty in model predictions.
Fadel's proposal calls for conditional distribution of cash to impoverished families in the country and the entire cost of this plan will not exceed $70 million annually.
2] and then draw from the conditional distribution [rho]|[sigma], Y, X.
The content of each section is detailed below: -tranche farm: conditional-slice studies 1: reconfiguration of generators, delivery positions and conditional distribution slice 2: reconfiguration loops and positions transformation.
at each iteration, the value along a randomly selected dimension is updated according to the conditional distribution.
Under the assumptions laid out above, we know that the regression line also passes through the median of the conditional distribution F([y.
However, the conditional distributions indicate much more of the mass at each consumption level 6 hours prior to the injury lies on what is effectively the diagonal of the conditional distribution when using last week compared to the collection of 6-hour periods over the last 12 months as the control choice.
Particularly, the price elasticity of body weight outcomes with regard to fast food prices was found to be heterogeneous over the conditional distribution of BMI for adolescents in a cross-sectional analysis with larger associations at higher BMI quantiles (Auld and Powell 2009).
For models with t-student conditional distribution, all null hypotheses were rejected, both for the long and the short positions, while in case of models with GED conditional distribution the Kupiec test null hypothesis was not rejected in any of 34 models, both for the long and the short position.
This conditional distribution is the so-called full conditional distribution (see appendix).
The conditional distribution is assumed to be normal, with mean and variance given by
T], [THETA]), I can derive a relationship between the marginal P(O) and the conditional distribution P([z.

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