def __call__(self, *args):
"""Returns Pr(mu, var), i.e., the prior density."""
if len(args) == 2:
mu, var = args
elif len(args) == 1:
mu = args[0]['mu']
var = args[0]['var']
return (normal_density(self.mu_0, var/self.kappa_0, mu) *
scaled_IX_density(self.nu_0, self.sigsqr_0, var))
def marginal_var(self, var):
"""Return Pr(var)"""
# Don't have an independent source for this, so convert params to NIX and use that result.
nu_0 = 2*self.a_0
sigsqr_0 = 2*self.b_0/nu_0
return scaled_IX_density(nu_0, sigsqr_0, var)
def marginal_var(self, var):
"""Return Pr(var)"""
return scaled_IX_density(self.nu_0, self.sigsqr_0, var)
