I will give an introduction to the theory of optimal transport which
is a method for constructing mappings between distributions. Optimal
transport has become a popular tool in statistics and machine learning
and has many applications. After introducing the basic ideas I will
discuss an application to estimating the background distribution for
testing for di-Higgs events.
This is joint work with: Tudor Manole, Patrick Bryant,
John Alison and Mikael Kuusela.
The seminar will be done remote only.
M. Girone, M. Elsing, L. Moneta, M. Pierini
Event co-organised with the PHYSTAT Committee