Assertion: gamma distribution | /r/HasProperty | the conjugate
Facets:
value: prior to many likelihood distributions
type: OTHER
value: prior for the precision
type: CAUSE
value: in bayesian inference
type: OTHER
Source sentences:
text: The reason for the usefulness of this characterization is that the inverse gamma distribution is the conjugate prior distribution of the variance of a Gaussian distribution.
text: In Bayesian inference, the gamma distribution is the conjugate prior to many likelihood distributions: the Poisson, exponential, normal (with known mean), Pareto, gamma with known shape σ, inverse gamma with known shape parameter, and Gompertz with known scale parameter.
text: It is the conjugate prior for the precision (i.e. inverse of the variance) of a normal distribution.
text: It is also the conjugate prior for the exponential distribution.