Results are generated with a time-dynamic simulation which considers the HSDPA data traffic of a user as a flow with a certain data volume.
Or was he, as certain data points could also suggest, brilliant in a more sophisticated way: detached, calculating, and manipulative?
Every entry in the table is stored as a certain type of data.
This can be as simple as a sum of data points, or as complicated as finding the average of certain data points and comparing them to other averages.
To the extent that these philosophies in fact are associated with different evaluations, one may regard them as different perspectives where certain data (e.g. smoking) are seen from different angles, as risk indicators or as entities that could be changed through patient's own efforts (i.e. by changing life style) as a means to treat the his or her health problem.
On the other hand, as the generation of certain data types (e.g. imaging, microarray, phenotypic, etc).
As a cloud service operation is executed, certain data response would be returned from its CSP, informing the execution result, e.g. execution status, obtained service information, newly altered service entities, etc.
Using that in the Bayesian framework the prior and the likelihood determine the distribution of the data as a certain marginal, the empirical prior derived from a particular experiment should predict the distribution of the data as observed in that experiment.
To construct a prior empirically we apply an iterative procedure based on the observation that a prior appropriate to a given set of observations should predict the empirically observed distribution of that data as a certain marginal distribution.
