Colin Carroll

Really cool! A few suggestions -- - `bayeux` could be invisible here, and you could access all the methods programatically. That's done [here](https://github.com/jax-ml/bayeux/blob/main/bayeux/_src/bayeux.py#L101), but i can factor that out into...

`bayeux` is inspired by `arviz`, in that it just provides a representation of a model that is general enough for most samplers, but it does make the decision that it...

I think you could -- @GStechschulte has a good outline here. If @tomicapretto thinks this is a reasonable idea in principle, I'd be happy to either collaborate on this to...

bayeux [will pull those in](https://github.com/jax-ml/bayeux/blob/main/pyproject.toml#L16), but i agree it is better to be explicit and require dependencies (in case bayeux makes weird decisions). I'll double check on the naming conventions!

Oh right, yes: `bayeux` has no concept of the dimensions from `pymc`. That would have to be implemented as a post-processing step to rename the `arviz` dimensions.

Keeping the encapsulation sounds good! Re: optimization, I often run with a bunch of particles, which ends up looking like draws from a posterior. They definitely aren't! But they ducktype...

PRs are welcome, but we're not pursuing a quantile function right now for the Student T. We could use a solver along with the CDF function as was discussed, but...

Hi @papoteur-mga -- thanks for chiming in, but I'm not sure what this means! - Which Linux distro? - Why is a linux distro building Python libraries from source? -...

Thank you for the response! Is it right to say you're here to advocate for mageia users, and not (specifically) as a user of statistical diagnostics? I have a particular...

Have been convinced that this is ok.