Sentence examples for give a posterior from inspiring English sources
These observations can be fused through Bayesian theory to give a posterior probabilistic estimate of the underlying state which is often not directly observable.
Proof First of all, we give a posterior hypothesis: There exists a h 0 ; when 0 < h ≤ h 0, we have ∥ D u m − D U m ∥ ∞ ≤ C, m = 1, 2, …, n − 1. (26).
Based on the observed data, this prior is updated to give a posterior distribution suggesting whether the PSR is measurable.
Even if all 10%20%% of kinesin-independent osk mRNA movements are minus end directed, this would still give a posterior bias in microtubule polarity of only 62%.
Accordingly, when new clinical trial data become available, the probability distributions are updated, using Bayes theorem, to give a posterior distribution.
These independent lines of evidence are more powerful if combined and can be used to give a posterior probability of pathogenicity of a BRCA VUS with resulting classification that can be linked to clinical actions [ 20, 25].
After reviewing the literature, only one other study has assessed the biomechanical effect of anterior interval adhesions: Ahmad et al. 1998 estimated an increase in patellofemoral contact force with adhesions in the infrapatellar pouch given a posterior translation of the patellar tendon.
This gives a posterior mean of the heritability of 0.03 (SD 0.01), 95% CI 0.02−0.05.
We also calculate the posterior of the difference in average breeding values between the first (1993) and last (2002) cohorts in the study; a diff = a1993 − a2002, which gave a posterior mean −0.025 (SD 0.068) and 95% CI −0.161 – 0.108.
Given a posterior sample x H, a measurement y ˙ 7 t in [ μg/ d] for the urinary excretion rate of zirconium at time point t corresponds to a unique solution c x H (t ) of the HMGU ODE system.
For A1708E, previously shown to be functionally compromised, analysis of oestrogen receptor, cytokeratin 5/6, and cytokeratin 14 tumour expression data significantly strengthened the prediction of pathogenicity, giving a posterior probability of pathogenicity of 99%.
