-
16:00
Transfer Learning for data-driven background modelling: Optimal Transport v Classifier Extrapolation
-
Tudor Manole
(CMU)
-
16:25
Systematic effects versus nuisance parameters
-
Richard Lockhart
(SFU)
-
16:50
Universal Inference
-
Larry Wasserman
(Carnegie Mellon University)
-
17:15
Bayesian reflection on Systematics
-
James Berger
(Duke University)
-
17:40
Partially Bayes : An inter-perspective approach for handling nuisance parameters
-
Xiao-Li Meng
(Harvard)
-
17:42
Final remarks ** N.B. Summary Talks on Nov 10th **
-
Olaf Behnke
(Deutsches Elektronen-Synchrotron (DE))
