21 citations · 32 across the 6 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
stat.ML2022
Model Comparison in Approximate Bayesian Computation
Jan Boelts
A common problem in natural sciences is the comparison of competing models in the light of observed data. Bayesian model comparison provides a statistically sound framework for thi…
stat.ML2022★ 6 cited
GATSBI: Generative Adversarial Training for Simulation-Based Inference
Poornima Ramesh, Jan-Matthis Lueckmann, Jan Boelts +4
Simulation-based inference (SBI) refers to statistical inference on stochastic models for which we can generate samples, but not compute likelihoods. Like SBI algorithms, generativ…