Removed assert_negative_support function call

pymc/distributions/multivariate.py

@@ -43,12 +43,7 @@
 
 from pymc.aesaraf import change_rv_size, floatX, intX
 from pymc.distributions import transforms
-from pymc.distributions.continuous import (
-    BoundedContinuous,
-    ChiSquared,
-    Normal,
-    assert_negative_support,
-)
+from pymc.distributions.continuous import BoundedContinuous, ChiSquared, Normal
 from pymc.distributions.dist_math import (
     betaln,
     check_parameters,
@@ -381,7 +376,7 @@ def dist(cls, nu, Sigma=None, mu=None, cov=None, tau=None, chol=None, lower=True
         cov = quaddist_matrix(cov, chol, tau, lower)
         # Aesara is stricter about the shape of mu, than PyMC used to be
         mu = at.broadcast_arrays(mu, cov[..., -1])[0]
-        assert_negative_support(nu, "nu", "MvStudentT")
+
         return super().dist([nu, mu, cov], **kwargs)
 
     def moment(rv, size, nu, mu, cov):
@@ -2288,9 +2283,6 @@ def dist(cls, alpha, K, *args, **kwargs):
         alpha = at.as_tensor_variable(floatX(alpha))
         K = at.as_tensor_variable(intX(K))
 
-        assert_negative_support(alpha, "alpha", "StickBreakingWeights")
-        assert_negative_support(K, "K", "StickBreakingWeights")
-
         return super().dist([alpha, K], **kwargs)
 
     def moment(rv, size, alpha, K):