Inverse Gamma Distribution in Python | Python inverse gamma
InverseGammadistributionisacontinuousprobabilitydistributionwithtwoparametersonthepositiverealline.Itisthereciprocatedistributionofavariabledistributedaccordingtothegammadistribution.ItisveryusefulinBayesianstatisticsasthemarginaldistributionfortheunknownvarianceofanormaldistribution.Itisusedforconsideringthealternateparameterforthenormaldistributionintermsoftheprecisionwhichisactuallythereciprocalofthevariance.scipy.stats.invgamma():Itisaninvertedgammacontinuousrandomvariable...
Inverse Gamma distribution is a continuous probability distribution with two parameters on the positive real line. It is the reciprocate distribution of a variable distributed according to the gamma distribution. It is very useful in Bayesian statistics as the marginal distribution for the unknown variance of a normal distribution. It is used for considering the alternate parameter for the normal distribution in terms of the precision which is actually the reciprocal of the variance.
scipy.stats.invgamma() :It is an inverted gamma continuous random variable. It is an instance of the rv_continuous class. It inherits from the collection of generic methods and combines them with the complete specification of distribution.
Code #1 : Creating inverted gamma continuous random variable