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We introduce a probability model for populations of cells and viruses that interact in the presence of an anti-viral agent.
Its probabilistic semantics is similar to ours because the probabilistic formulas have truth value in specific states (worlds), but they introduce a probability distribution for each set of indistinguishable possible worlds (states).
Furthermore, in order to investigate the impact of the distributions of MS in the cellular system on system performance, we introduce a probability density function (PDF) of the distribution of MS into the final theoretical expression of the system outage probability.
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We made one more modification to set a real life situation by introducing a probability option at every home.
Meacci et al. [12] introduced a probability of choosing an opinion that incorporates the global factors of the dynamic system.1 We referred to this approach to link our macro-sociology parameters with the probabilities of changing behavior.
For this, we introduce a small probability u that each new offspring is a mutant.
In Section 4 we introduce an invariant probability Wiener-type measure μ on the infinite-dimensional unitary group (U infty)=bigcup U j)), irreducibly acting in H, where (U j)) are subgroups of unitary ({(jtimes j)} -matrices.
Therefore, we introduce a second autoregulation probability model, which takes into account the amount of conserved positions in gene regulatory regions.
Here we introduce a novel generative probability model (PTMClust) that addresses the aforementioned problems encountered when using blind PTM search engines.
For example, in a Markovian setting without fictitious play,b Ma et al. [13] introduce a cooperation parameter (a probability to stop transmitting) and then follows a detection and punishment methodology regarding selfish behavior.
By introducing a cutoff probability, pronunciation lexicons were created that contain only variants above this cutoff.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com