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An HMM is a double stochastic process that models data evolving in time.
Despite the growing amount of data, evolving surgical technique, and improving implant design and rationale, prosthetic radial head replacement is far from what should be considered an established and routine procedure.
However, the massive amounts of data evolving from smart grid meters used for monitoring and control purposes need to be sufficiently managed to increase the efficiency, reliability and sustainability of the smart grid.
Seq-Gen was used to generate data evolving under continuous-time K81 model (both homogeneous and globally nonhomogeneous).
In this section we present the results of the topology reconstruction method EMtree on simulated data evolving both under homogeneous and nonhomogeneous Markov processes.
In order to compare EMtree to time nonhomogeneous but continuous-time ML, we generated data evolving under a continuous-time nonhomogeneous K81 model.
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You'll also be able to go back in time (with a slider) to watch all of the aforementioned data evolve.
Brandley et al. [34] demonstrated that accommodating different rates of evolution among subsets of DNA data may improve divergence time estimation, especially when different subsets of the data evolve at different rates.
If there is no evidence that the data evolved along different trees, they are instead combined using a character congruence approach.
Likelihood ratio test (LRT) was used to test the null hypothesis that the data evolved under a strict molecular clock as implemented in PAUP.
The codes evolved as each transcript was read, with some codes being subsumed by others, some being disaggregated and some being renamed as the researcher's understanding of the data evolved [ 38].
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