Sentence examples for fixed the probability from inspiring English sources
Thirdly, since (gamma =frac {n}{k}) and k is fixed, the probability Pr(n) is equal to the probability of γ for all cases.
Now suppose that we have two events A and B. If we hold fixed the probability of each event individually, a probability distribution over the partition A&B, A&~B, ~A&B, ~A&~B will have more information, in the sense of Shannon (1948), when A and B are correlated.
With light levels fixed, the probability of bats colliding with the opaque and transparent fabrics were similar, regardless of date (date x (opaque-transparent contrast): Wald χ2 = 0.15, 1 d.f., p = 0.679; Figure 2, Table 2).
With the definitions for J h and above, for a fixed, the probability of the event that there exists a j∈ J h such that, is less than or equal to by the weighted Simes test.
Under such mode of protein evolution, once an amino acid substitution is fixed, the probability of its reversal declines as the protein sequence accumulates changes that affect the phenotypic manifestation of the ancestral state.
If P makes S more coherent than does P′ according to C, we fix the probability of reliability in such a way that S comes out as more probable on P′ than on P. If, on the other hand, P′ makes S more coherent, then we choose a value for the probability of reliability so that P makes S more probable.
(The principle C1 of section 3.1 fixes the probability of inconsistent sentences at zero).
K-sequences (state descriptions in Carnap's terminology) are the most specific sentences in a language L k): every consistent sentence is logically equivalent to a disjunction of these pairwise incompatible conjunctions, so fixing the probabilities of all state descriptions, which must always sum to one, fixes the probability of every consistent sentence in the language.
As a by-product, the knowledge of the Gibbs measure provided by this analysis allows a posteriori to fix the probability distribution of V k ( s ).
This approach is motivated by that fact that fixing the edge density implies fixing the probability for the existence of an edge in the case of Erdös-Rényi random networks.
