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Exact(5)

This is reasonable since the SAGE algorithm, which approximates the MLE with iterative procedures, has an inherent limitation that the estimates may lead to a local maximum of likelihood that is usually determined by the initialized parameter estimation instead of a global maximum.

The majority rule consensus tree obtained in MP and ML (maximum of likelihood) for ITS appeared unresolved and weakly supported with values of node confidence which never exceeded 70%.

ML method builds inference on robust statistical models and searches trees for the best solution with maximum of likelihood value.

Besides the signature method, three commonly used methods [ 3] were used to analyze aligned sequences from the same data sets: Neighbor-Joining (NJ) [ 68], maximum parsimony (MP) [ 69] and maximum of likelihood (ML) [ 2].

Interestingly, all Austrian strains with Se_At1-3 on the one hand (nettle) and Se_At4-5 (bindweed) on the other hand were clearly separated in the tree of sequences analyzed by maximum of likelihood (ML).

Similar(55)

A maximum estimation of likelihood was applied.

A maximum of the likelihood function occurs at the same parameter-value as a maximum of the logarithm of the likelihood (the "log likelihood"), because the logarithm is an increasing function.

Consequently, the EM algorithm with initialization vector (boldsymbol {phi }^{(0)}triangleq [0,0,0,0]) converges to the maximum of the likelihood function.

The EM algorithm iterates between these two steps and converges to a local maximum of the likelihood.

Maximum of the likelihood function are computed using a conjugate gradient method.

Proof that when a local maximum of the likelihood occurs at when cov.

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