ajdmom.mdl_svcj.cond2_mom.mnorm_cond

ajdmom.mdl_svcj.cond2_mom.mnorm_cond(n)[source]

conditional normal distribution moment \(J_i^s|J_i^v \sim \mathcal{N} (\mu_s+rhoJ J_i^v, \sigma_s^2)\)

Parameters:

n (int) – order of the moment, n >= 0

Returns:

poly with keyfor = (‘mu_s’, ‘rhoJ’, ‘sigma_s’, ‘J_i’)

Return type:

Poly