def prop_func_form_params(param1,param2,*arg): """ Returns w(theta_i|theta_i+1), which is here a gaussian distribution with a given covariance and mean. Keyword Arguments: *args are: x_mean -- the mean vector (np.array) Cov -- covariance Matrix (np.matrix) """ return np.log(MH.simple_2D_Gauss(param1-param2,arg[0],arg[1]))
def prop_func(*args): return MH.simple_2D_Gauss(*args)