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)
