Joel Akeret

Could you give me some information on your application so that I can understand why it's neccessary?

Can't you use the theta values passed to your function to seed the `RandomState` in your model?

Exactly, e.g. define the seed to be the sum or product over all the parameters. In principle the proposed parameters all come from a reproducible rng stream. It's not perfect...

I has been a while but this somehow rings a bell. Which version are you using? Could be that the package on PYPI is slightly outdated. The dev version here...

Hi @changhoonhahn thanks a lot for the contribution. I think we should also pass the kwargs in the [`ParticleProposal ` class](https://github.com/jakeret/abcpmc/pull/19/files#diff-0eaf6398ff7a9f421bd4c564f646c9eeL107-L108)

I never thought about this but in principle I think this should be possible. Once an interation is computed: `for pool in abcpmc_sampler.sample(prior, eps):` you could set you new distance...

Hi Gabriel, great to hear that the package is useful to you. This is indeed an issue. I think the first case is a bit special if the prior is...

In principle you can derive it from the number of particles and the acceptance ratio