The parameter influence is mainly reflected in the speed of the transition: for the parameter vector (u1, u2) = (0.005, 0.02) in the lower row, most of the probability is already arranged around the on-state at the end of the simulation time.
Robust features are its large width on a logscale and the fact that most probability mass is between effective neutrality and lethality [ 46, 47].
For most values, the transition probability is effectively zero.
Using most mathematical models, the probability is just a handful out of a million, or less, for a given election.
Second, among the three cluster characteristics, the cluster appearance probability is most influenced by local position, and least affected by operating condition and material type.
On the whole, epistemic probability is most naturally associated with Bayesian statistics, the second major theory of statistical methods (Press 2002, Berger 2006, Gelman et al 2013).
Figure 2 also shows that, although tiotropium has the highest probability of being the most optimal treatment, this probability is 58% at maximum.
Such a modification of the prior probability is most consistent with a change in the evidence criterion (Carpenter & Williams, 1995).
This shows that the cases where the BL probability is most variable between replicates tend to be intermediate cases with BL probabilities closer to 0.5.
In most papers the survival probability is estimated with the Kaplan Meier method from observed survival times, censored or uncensored [ 7].
