Hi all,

I am working with data that may be left-censored at some varying bound.

After reading Chapter 21.4 - Vectors with varying bounds of the Stan User Guide I want to use a varying upper bound in a similar fashion.

The only example of a varying upper bound restricts each parameter to an interval (0,U)

If I wanted the bounding interval to include negative values, say (-\infty,U), as is the case if \alpha is log-transformed, would it be sensible to just drop the `lower = 0`

from the `alpha_raw`

definition?

For example

```
data {
int N;
vector[N] U; // upper bounds
...
parameters {
vector<upper=1>[N] alpha_raw;
...
transformed parameters {
vector[N] alpha = U .* alpha_raw;
}
```

I am aware another option would be to integrate out the censored values (as suggested in Chapter 4.3 - Censored Data of the Stan User Guide) but Iām not sure how well that would work in my current model.