Sentence examples for probability of partitioning from inspiring English sources

This algorithm is used to divide the network nodes into clusters such that when the network is finally partitioned (clustered), the probability of partitioning along cluster boundaries is achieved with high probability.

While removing data partitions in which the apex of the PI profile occurrs prior to the root of the tree would be an optimal strategy to limit the increased probability of partitions containing homoplasious site patterns [ 37], preliminary analyses suggested that this strategy was not feasible for the mitogenomic dataset as this required removal of almost all data.

where the index i (A,B,C) represents the partitions, p i denotes the probability of only partitions i being received and decoded, and D i denotes the total distortion due to decoding the received partitions in absence of the others.

Give a fixed partition, BEAM can get the posterior probability of this partition from SNP data based on Bayes theory.

Given a fixed partition, BEAM can get the posterior probability of this partition from SNP data based on Bayesian theory.

We used these phased probabilities to partition the kinship between each pair of HS animals according to parent of origin.

We used 15 002 final trees for posterior probability distribution calculations; the probability of each partition or clade on resulting tree was given as a credibility value.

The posterior probability of the partition with largest support was 84% for the community acquisition rate and 92% for the probability of carriage at the beginning of the follow-up.

A simple property of a finite-dimensional Dirichlet distribution is that the sum of the probabilities of disjoint partitions is also a joint Dirichlet distribution whose parameters are sums of the parameters of the original Dirichlet distribution [ 13].

The CCP of a rooted tree G ∈ G am (Höhna and Drummond, 2012), denoted by P CCP (G ), is defined as the product of the conditional probabilities of all partitions in Π (G ).

Furthermore, in situations where the posterior probabilities of individual partitions are too small (relative to Monte Carlo error) to be estimated reliably, the posterior co-assignment probabilities of many subsets of the label set can be estimated accurately, using a large sample of observations from the posterior distribution.