Ryan Kelly
@ryanpkelly.bsky.social
240 followers 940 following 5 posts
PhD student at QUT in computational Bayesian statistics simulation-based inference | generative modelling | robust ML
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Reposted by Ryan Kelly
paulbuerkner.com
The beta version of BayesFlow 2.0 is becoming more powerful and stable by the day. If you are curious about Amortized Bayesian Inference, give BayesFlow a try!
github.com/bayesflow-or...
GitHub - bayesflow-org/bayesflow at dev
A Python library for amortized Bayesian workflows using generative neural networks. - GitHub - bayesflow-org/bayesflow at dev
github.com
ryanpkelly.bsky.social
Thanks Marvin! Great to hear you had a chance to discuss it with David down in Aus.
ryanpkelly.bsky.social
Thrilled to contribute to this work led by David Frazier providing theory for NPE/NLE in simulation-based inference. These methods are known to match the accuracy of ABC and BSL with fewer simulations, this paper rigorously shows why this can be achieved.
arxiv.org/abs/2411.12068
The Statistical Accuracy of Neural Posterior and Likelihood Estimation
Neural posterior estimation (NPE) and neural likelihood estimation (NLE) are machine learning approaches that provide accurate posterior, and likelihood, approximations in complex modeling scenarios, ...
arxiv.org
Reposted by Ryan Kelly
marvin-schmitt.com
I created a starter pack for simulation-based inference (aka. likelihood-free inference).

Let me know if you’d like me to add you.

go.bsky.app/GVnJRoK
Reposted by Ryan Kelly