Assertion: parameter | /r/HasProperty | random variables
Facets:
value: in bayesian analysis
type: OTHER
value: in modern bayesian probability
type: OTHER
Source sentences:
text: In modern Bayesian probability, the parameters are random variables, and their uncertainty is described as a distribution.
text: The third parameter seems to be random, and we don't know what it stands for either.
text: Since the parameter is a random variable described by the posterior pdf, all subsequent functions of are distributed random variables as well and are entirely based on the posterior pdf of .
text: For example, in Bayesian analysis, the parameters of the distribution to be fitted are the random variables.