I’m building a complex model, that have a convergence problem, when initializing with NUTS I get this error message :

`ValueError: Bad initial energy: nan. The model might be misspecified.`

How can I have clues about the random variable that produce such ‘nan’ energy ?

So far my work around is to use Metropolis step for a given variable instead of NUTS. But this is not satisfying. I guess that this given variable is not the problem because I still have the problem even if I replace this random variable by a constant (with a reasonable value).

I printed the logp value of the test point for each of my random variables :

```
original_ctr_logodds__ -1.3862943611198906
ctr_logodds__ -138.62943611198918
ctr_prior_interval__ -794407.2905335968
w_stickbreaking__ -5.963065072586285
ctr_pp 207.9293698687659
original_ctr_pp 2.079293698687664
original_conv -31871.982096691176
conv -3180114.173934952
original_conv_pp -31871.98209669117
conv_pp -3180114.173934952
-7218315.572728861
```

(last value is the whole model logp)

None of them are Inf or Nan, I’m a bit surprised to see positive logp but I’m not sure that it is a problem (?).

How can I get more information about this ‘nan ernergy’ ?