Sentence examples for between the probability model from inspiring English sources

Good agreements were found between the probability model developed and the histograms computed based on simulated load processes.

Our overview of conceptual approaches highlights the tradeoffs that have emerged between the complexity of the probability model for the "risk factors≓, data availability, the pricing objective, and the tractability of the resulting pricing model.

Statisticians from BP quote the strength of the probability models that predict such leaks.

It encourages a clear separation between the probability distribution model and the encoding of information.

Unfortunately, since expected values of dependent variables in linear probability models are not bounded between zero and one, the usefulness of the linear probability model can often be limited to addressing the direction of causality and testing instrument validity.

Genetic interactions have been previously classified into within-pathway and between-pathway interactions [23], [25]; the hypergeometric probability model appears to rank within-pathway interactions above between-pathway interactions, thereby increasing the utility of genetic interactions for inferring functional associations between genes.

The parameter m represents the number of symbols lying in the vicinity of the present coded symbol with 0 ≤ m ≤ 2. For each symbol C to be coded, the conditional probability p(C|T(m)) is estimated by switching between different probability models according to the already coded neighboring symbols.

For this purpose the content of messages sent by users are analyzed and based on information extracted from text messages, user's knowledge model or a probability model of the relationship between the user and the messages is generated.

By first exploiting the homology between genomes of two related species, a probability model for the evolutionary conservation pattern of codons across different genomes is developed.

A probability model for the dependency between adjacent codons/triplets is added to differentiate coding exons and random sequences.

This divergence is quantified by means of the Jensen Shannon divergence (JSD) as it provides a measure of the dissimilarity between the probability density functions of competing models.