Speakers have been asked to recommend reading material relevant for their talks. Participants are highly recommended to familiarise themselves with these items, before the meeting. There is also a very useful overview talk by Bob Cousins at PHYSTAT-Anomalies; it starts at 51minutes into the recording: https://indico.cern.ch/event/1138933/sessions/433821/attachments/2450470/4199306/video2031175507.mp4 . . The slides are available at: https://indico.cern.ch/event/1138933/contributions/4778981/attachments/2449453/4197531/cousins_phystat_anomalies_24may2022.pdf .
SPEAKERS' RECOMMENDATIONS
Sara Algeri:
"K-2 rotated goodness of fit for multivariate data"
https://journals.aps.org/prd/abstract/10.1103/PhysRevD.105.035030
Gaia Grosso:
"Goodness of Fit by Neyman-Pearson testing"
https://arxiv.org/abs/2305.14137
Raghav Kansal:
"Evaluating generative models in High Energy Physics"
https://arxiv.org/abs/2211.10295
Mikael Kuusela
"Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests"
"Global and local two-sample tests via regression"
"Classification accuracy as a proxy for two-sample testing"
Arthur Gretton:
"A Kernel method for the 2-sample problem"
Larry Wasserman:
"Computational Optimal Transport" https://arxiv.org/abs/1803.00567
Ann Lee:
"Global and local 2-sample tests via regression" https://arxiv.org/abs/1812.08927
"Validation of approximate likelihood and emulator models for computationally intensive simulations" https://arxiv.org/abs/1905.11505
