Do you know of any cases where this simulation-seeded Gaussian Process was then used as a prior, and updated on empirical data?
Like...
uncertain parameters—simulation--> distribution over state
noisy observations—standard bayesian update--> refined distribution over state
Cari Kaufman’s research profile made me think that’s something she was interested in. But I haven’t found any publications by her or anyone else that actually do this.
I actually think that I misread her research description, latching on to the one familiar idea.
Do you know of any cases where this simulation-seeded Gaussian Process was then used as a prior, and updated on empirical data?
Like...
uncertain parameters—simulation--> distribution over state
noisy observations—standard bayesian update--> refined distribution over state
Cari Kaufman’s research profile made me think that’s something she was interested in. But I haven’t found any publications by her or anyone else that actually do this.
I actually think that I misread her research description, latching on to the one familiar idea.
None come to mind, sadly. :( (I haven’t read through all of his work, though, and he might know someone who took it in that direction.)