Sentence examples for Known likelihood from inspiring English sources

Exact(5)

The 2012 coronial inquest into the Siev 221 shipwreck criticised the federal government for failing to provide rescue vessels on Christmas Island despite the known likelihood of a maritime disaster occurring as unseaworthy asylum seeker boats approached the island.

Further advantages of Granger causality are that (i) insofar as it is model-based with a known likelihood function, standard techniques of model order estimation (such as the Akaike or Bayesian Information Criteria (McQuarrie and Tsai1998)) may be deployed, and (ii) asymptotic distributions for the sample statistic are known.

This parallelization scheme is similar to that of prefetching, which was developed for MCMC with known likelihood (Brockwell 2006).

Given the observed virus diversity, implications for public health and veterinary medicine should be taken into account, especially considering the known likelihood of direct bat-to-human and human-to-human transmission of Nipah virus (12 ).

The main challenges with MCMC using a known likelihood function are that efficient sampling methods are sometimes needed to choose candidate parameter values, and in all cases the burden is on the user to check whether the MCMC is actually converging to the correct full posterior distribution.

Similar(55)

Bootstrapped (100×) best-known likelihood topologies were calculated using the parallelized version of RAxML [ 73].

The best-known likelihood tree under the GTRMIX model of nucleotide substitution was computed from 100 runs starting from distinct randomised maximum parsimony starting trees.

The two-axis model parameters are estimated with the well-known maximum likelihood algorithm.

In this study, we present the well-known Maximum Likelihood Estimation (MLE) for the respiratory parameter estimation, by assuming that the measurement noise is General Gaussian Distributed (GGD).

Pairwise evolutionary distances between terminal taxa were estimated on the best-known maximum likelihood tree using RAxML.

In both cases the topology of the best-known maximum likelihood tree previously obtained was used as scaffold for the calculation of synonymous Ks and non-synonymous Ka mutations.

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