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Instead, he looked for a base rate probability.
Here, the critical problem of estimating the bit error rate probability in error-prone applications is discussed.
In Equation 1, the function Φ(k) may be interpreted as an effective decay rate probability density function.
What is more, Φ(k) broaden significantly with increasing r H parameter. Figure 4 Effective decay rate probability density functions.
It was also shown that effective decay rate probability density function may be recovered by means of Stehfest algorithm.
Based on suggested modifications we obtained analytical expressions for bit error rate probability analysis of quantization-based watermarking methods in AWGN and uniform noise channels.
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Table 2 Base rate probabilities for alternative states of Node: Santorini_eruption_probs (Figure 1 ) State Santorini_eruption_probs Failed_Intrusion 0.5%LavaFlow_or_Dome_1st1.4%Explosion_1st0.1%0.1% Non_magmatic 98%.
In subsequent analyses, error rate probabilities were parameterized individually based on cohort membership.
A GTR-γ model was run with 100 different rate categories, and posterior rate probabilities were calculated for each 4x site.
Recall that the relative rate parameter estimates p ^ m, λ ^ n, ϵ ^ h and δ ^ determine background mutation rate probabilities and thus, ideally, they should be obtained by fitting the model only to genes containing silent mutations.
To analyze stretched exponential behavior in more details, we may recover the decay rates probability density function Φ(k).
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