TY - JOUR
T1 - Bayesian Inference for the Exponential Power Function Parameters
AU - Agro', Gianna
PY - 2008
Y1 - 2008
N2 - This paper addresses the problem of obtaining the marginal posterior distributions, via Gibbs Sampler, for the parameters of the well-known generalized error distribution called Exponential Power Function (E.P.F.). This density represents a family of unimodal symmetric distributions with shapes varying from leptokurtic to platikurtic.
AB - This paper addresses the problem of obtaining the marginal posterior distributions, via Gibbs Sampler, for the parameters of the well-known generalized error distribution called Exponential Power Function (E.P.F.). This density represents a family of unimodal symmetric distributions with shapes varying from leptokurtic to platikurtic.
KW - Bayesian Inference
KW - Exponential Power Function
KW - Gibbs Sampler
KW - Bayesian Inference
KW - Exponential Power Function
KW - Gibbs Sampler
UR - http://hdl.handle.net/10447/44265
M3 - Article
SN - 1827-8388
VL - 2008
JO - ANNALI DELLA FACOLTÀ DI ECONOMIA. UNIVERSITÀ DI PALERMO
JF - ANNALI DELLA FACOLTÀ DI ECONOMIA. UNIVERSITÀ DI PALERMO
ER -