Prior Probabilities. Proportionate distribution of classes in the population (in a classification problem), especially where known to be different than the distribution in the training data set.
* The class prior probabilities are known (or at least can be estimated), ...
Values significantly above 1 cause a dense vector where all states will have similar prior probabilities.
from time series, (iii) missing data can be a problem but there are standard methods such as Gibbs sampling for dealing with missing data (these methods have costs in terms of the data and computation time required), and (iv) prior probabilities can ...
 See also: Distribution, Classification, Regression, Likelihood, Percept
  
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