Tropical Geometry of Statistical Models

This talk revisits the manifesto which Lior Pachter and I published in 2004. My aim is to explain its third thesis, which proclaims that “tropicalized statistical models are fundamental for parametric inference, and to initiate a discussion on how this could be relevant for present-day machine learning.