def transformed_model_with_observed(): norm = yield dist.HalfNormal("n", 1, transform=dist.transforms.Log(), observed=1.0) return norm
def nested_model(cond): norm = yield dist.HalfNormal("n", cond**2, observed=np.ones(10), transform=dist.transforms.Log()) return norm
def transformed_model(): norm = yield dist.HalfNormal("n", 1, transform=dist.transforms.Log()) return norm
def nested_model(cond): norm = yield dist.HalfNormal("n", cond**2, transform=dist.transforms.Log()) return norm