Viewing f(x) as a proxy value of the

conditional probability P = P(Y = 1|X = x), one is less confident for small values of [absolute value of f(x)] corresponding to P around 1/2.

1] is the

conditional probability of G choosing a given that T chooses u.

Bivariate Bayesian

conditional probability and odds ratios are used to illustrate skill shortage vacancy and hard-to-fill vacancy.

For the computation of

conditional probability values many more words have been considered.

Conditional probability is based on an idea that, though on its surface seems quite obvious, at times becomes a rather counterintuitive concept to hold in mind.

According to the Bayesian definition of

conditional probability, the probability that any given 5C is counterfeit, given that it bears mark T, is

The relationship between age and the

conditional probability that y equals 1 is S-shaped, indicating that an additional year of age (e.

Conditional probability tables also are learned from the data.

Model A includes the general specification of YRS as a predictor of the

conditional probability of graduation from high school.

t-1]; [theta]) is the

conditional probability of state j at time t given information at t-1.

i] [member of] (0,1) to denote the

conditional probability of this loss occurring for an applicant in risk class t [member of] {H, L}.

Research conducted under NCHRP Project 24-34 clearly indicates that of the three primary scour components (pier, contraction, and abutment), the contraction scour equations exhibit, by far, the least amount of reliability in terms of 1) the

conditional probability that the contraction scour estimate will be exceeded during the design event, and 2) the unconditional probability that the contraction scour estimate will be exceeded during the life of the bridge.

They find that the worst-performing funds have a higher probability of liquidation than those of the other quintiles, and the top-performing funds have a higher

conditional probability of staying top performers versus becoming worst performers than that of the worst performing funds.

We encounter major figures in the field from antiquity onwards, and are shown how

conditional probability might have led the OJ Simpson jury to a different verdict, as well as how ellipses and parabolic curves can help you whisper sweet nothings to your one and only.

In view of this we examined post hoc the

conditional probability (the probability of an event occurring assuming another event has already occurred) of response to SJW compared with placebo and antidepressants via an analysis of a pooled sample of MDD patients from two 8 week RCTs comparing SSRIs versus SJW (The Hypericum Depression Trial Study Group study 2002 and the Fava et al study 2005).