# Difference between revisions of "Algebraic Geometry Seminar Spring 2016"

The seminar meets on Fridays at 2:25 pm in Van Vleck B113.

The schedule for the previous semester is here.

## Algebraic Geometry Mailing List

• Please join the AGS Mailing List to hear about upcoming seminars, lunches, and other algebraic geometry events in the department (it is possible you must be on a math department computer to use this link).

## Spring 2016 Schedule

date speaker title host(s)
January 22 Tim Ryan (UIC) Moduli Spaces of Sheaves on \PP^1 \times \PP^1 Daniel
January 29 Jay Yang (Wisconsin) Random Toric Surfaces Local
February 5 Botong Wang (Wisconsin) Topological Methods in Algebraic Statistics Local
February 12 Jay Yang (Wisconsin) Random Toric Surfaces Local
February 19 Daniel Erman (Wisconsin) Supernatural Analogues of Beilinson Monads
February 26 TBD
March 4 Claudiu Raicu (Notre Dame) TBA Steven
March 11 TBD
March 18 Spring break
March 25 TBD
April 1 TBD
April 8 TBD
April 15 TBD
April 22 TBD
April 29 David Anderson (Ohio State) TBA Steven
May 6 TBD

## Abstracts

### Tim Ryan

Moduli Spaces of Sheaves on \PP^1 \times \PP^1

In this talk, after reviewing the basic properties of moduli spaces of sheaves on P^1 x P^1, I will show that they are $\mathbb{Q}$-factorial Mori Dream Spaces and explain a method for computing their effective cones. My method is based on the generalized Beilinson spectral sequence, Bridgeland stability and moduli spaces of Kronecker modules.

### Botong Wang

Topological Methods in Algebraic Statistics

In this talk, I will give a survey on the relation between maximum likelihood degree of an algebraic variety and it Euler characteristics. Maximam likelihood degree is an important constant in algebraic statistics, which measures the complexity of maximum likelihood estimation. For a smooth very affine variety, June Huh showed that, up to a sign, its maximum likelihood degree is equal to its Euler characteristics. I will present a generalization of Huh's result to singular varieties, using Kashiwara's index theorem. I will also talk about how to compute the maximum likelihood degree of rank 2 matrices as an application.