Speaker
Markus Michael Rau
Description
The modeling of cosmological observables becomes increasingly complex and we need to rely on computationally costly computer models for scalable inference. I will present a current project on advancing current emulation efforts to include functional input like selection functions into the emulation. In particular I will highlight opportunities to include Machine Learning models into the emulator design and discuss the impact of model misspecification error on emulation and inference. I will summarize the basic problem and present prior work and proposals to mitigate the issue.
