Sentence examples for exists a probability from inspiring English sources

If an SE, say SE 1 is known to be present (observed + se 1 in (vec {se}_{o})) or the existence-case is considered during probabilistic assessment, there exists a probability that SE 1 will affect an associated node X to become impacted.

By Skorohod's theorem, there exists a probability space and random variables and on with values in such that (3.59).

A preferential consequence relation is admissible if and only if, for every ε > 0, there exists a probability function P such that, for all propositions p and q, p q iff P q/p) ≥ 1 − ε. 6.

For each constraint, there exists a probability that the channel condition cannot satisfy it, and the highest outage probability is the dominant factor and achieve the system's DMT.

The inverse problem is to determine whether a set of fragmentary probabilities or marginal distributions is conformable in the sense that there exists a probability space or joint distribution that yields these fragmentary probabilities or marginal distributions.

In the case that an external shock event is present ((SE=^ se, SE in vec {SE}_{V})), there exists a probability of it affecting node V, expressed as a local conditional probability fragment p(+ v|+ se).

Third, while every representation theorem proves that for a suitable preference ordering, there exist a probability and utility function representing the preference ordering, they differ how unique this probability and utility function are.

These theorems show that if preferences among acts meet certain constraints, such as transitivity, then there exist a probability function and a utility function (given a choice of scale) that generate expected utilities agreeing with preferences.

To formalize this point, we assume that there exist a probability space ( Ω, F, P ) and a sub-σ-algebra ℋ of ℱ such that P [ ξ 1 ∈ A 1, …, ξ n ∈ A n ∣ H ] = ∏ j = 1 n P [ ξ j ∈ A j ∣ H ] (6).

Concerning risk, results indicate that for the customer, there exists a 88% probability to obtain a positive Net Present Value, and for the company this probability is about 70%, obtaining generally positive results.

First, we prove that system (2) is asymptotically stable in distribution, that is, there exists a unique probability measure μ such that for every (X(0)in mathbb{R}^{2}_), the transition probability (p t, X(0),cdot)) of (X t)) converges weakly to μ as (trightarrow+infty).