The name "pre-probability" refers to the fact that $\rho$ can be used to generate many different probability distributions for different choices of the sample space.
Such noise can be categorized into many different types by probability distributions, such types being impulsive noise, Gaussian noise, Rayleigh noise, and Laplacian noise, to name a few [4, 6, 7].
Imagine putting a picture puzzle together in that many different ways and deriving probabilities from all of them.
There are many different ways of parametrizing the probabilities.
The results of the model are driven by many different input parameters, including the probabilities of death, remission, relapse, recurrence, discontinuation and adverse event for each therapy option, as well as the corresponding utility values and cost associated with each health state.
Large parts of the surface are relatively flat, which means that in these areas the peptide can exist in many different conformations with essentially equal probability.
Considering the low probability of many different sites in the trnH gene related sequences caused by PCR or sequencing, we still cannot exclude the possibility that some sporadic individuals of SBPH possessing the same location of trnH gene as previous study exist in some special regions in China.
We can compute these posterior probabilities for as many different conditions as we find helpful.
In general, physical quantities are described by a quantum state which gives a probability distribution over many different values, and increased specificity (narrowing of the distribution) of one property (e.g., position, electric field) gives rise to decreased specificity of its canonically conjugate property (e.g., momentum, magnetic field).
For each of the drugs investigated, we need to consider how many different side effects it may have and what are the probabilities these side effects may occur.
