Sentence examples for probability of influence from inspiring English sources

Conversely, assume there is a K-VDP for G′ with f ( P ) ≥ 2 ( | E | − M ) ( nΔ ) 2. It has been shown in [16] that for any nodes ∀i,j,l∈V, the probability of influence propagation from i to j via node l is equal to w i,l w l,j) in the LT model.

Criteria were set so that variables were excluded from model if their probability of influence was low (p > 0.1).

An improvement in the correct identification of stroke patients has the greatest probability of influencing the time between call and arrival at scene through ensuring the correct dispatch code, vehicle, and priority are used.

As a part of a parallel work, we have developed a streamlined bioinformatics and wet-lab analysis methods to identify putative functional promoter SNPs with up to 70% probability of influencing gene expression.

In other words, unless the number of genes measured is comparable to the number of genes that have not been ruled out as the gene dominating the gene of interest, adequate specification of the prior distribution makes it unlikely that any measured gene will have 50% or more posterior probability of influencing the expression of the gene of interest [Equation (9)].

Temperature, HS and rainfall showed the highest probabilities of influencing brucellosis transmission in the four provinces according to the Granger causality tests (Table  3).

First, under substantial uncertainty about which differential equation best models the transcriptional influences on the transcription of a given gene of interest, we assign each differential equation a prior probability followed by averaging the posterior probabilities of influences over all differential equations considered.

It is the last residue of the α-helix and the replaced amino acid has similar physical characteristics, thus the probability of its influence on protein structure is rather low.

Consumers who place high importance on benevolence may have a higher probability of being influenced by people who are close to them.

I argue that the assumption is not well justified if the probability of these influences explaining the input variable is low and, consequently, its uncertainty is high.

However, no previous research has specifically addressed whether probability of reward influences decision-making in relation to depression or anhedonia.