arma singular matrix
Affects | Status | Importance | Assigned to | Milestone | |
---|---|---|---|---|---|
statsmodels |
New
|
Undecided
|
Unassigned |
Bug Description
import numpy as np
import scikits.
singular matrix with zero autocorrelation timeseries in ARMA ?
exog = sm.add_
endog = exog.sum(1) + 0.2 * np.random.
modarma = sm.tsa.ARMA(endog)
resarma = modarma.
Optimization terminated successfully.
Current function value: 6.341930
Iterations 12
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "sm_overview.py", line 36, in <module>
resarma = modarma.
File "E:\Josef\
bounds=bounds, iprint=disp)
File "C:\Python26\
f, g = func_and_grad(x)
File "C:\Python26\
f = func(x, *args)
File "E:\Josef\
loglike = lambda params: -self.loglike_
File "E:\Josef\
return KalmanFilter.
File "E:\Josef\
Q_0 = dot(inv(
File "C:\Python26\
return wrap(solve(a, identity(
File "C:\Python26\
raise LinAlgError, 'Singular matrix'
numpy.linalg.