Statistics for Unimodal Sequences

In 1990, breakthrough work of Fristedt introduced a probabilistic framework for deriving
limiting distributions for statistics for integer partitions, now known as a Boltzmann model
or Fristedt’s conditioning device. Subsequent authors have continued to use his ideas to find
limiting statistics for partitions, and analogues of his ideas have also been used, for example,
to generate fast sampling algorithms for other combinatorial structures. For partitions, precisely
because the generating function is an infinite product, one gains independence of the relevant
random variables under the Boltzmann model, making it easier to calculate distributions.
In this talk, I will discuss these ideas and the nontrivial task of extending them to unimodal
sequences of integers, which lack a product generating function.
This is joint work with Kathrin Bringmann. 

Zoom Meeting ID: 919 6497 4060
For password see the email or contact Pieter Moree (moree$@$mpim-bonn$.$mpg$.$de)