Seven Lectures in Algebraic Statistics

The goal of the Seven Lectures in Algebraic Statistics is to give a practical introduction to several topics in Algebraic Statistics. No previous knowledge of statistics will be assumed. Familiarity with algebra at the level of Cox, Little, O’Shea’s book “Ideals, varieties, and algorithms” is a plus. The lecture will be 60 minutes long and be followed by a 30 minute practical session in R or Macaulay2.

Date and time info
Monday 13:00 to 14:30, starting October 21

Keywords
Algebra, Statistics, Causality, conditional independence, Fisher's exact test, Markov basis

Prerequisites
Some knowledge in Algebraic Geometry at the level of Cox, Little, Oshea's book "Ideals varieties and algorithms"

Language
English

Remarks and notes
This course consists of seven lectures. The last three lectures will serve as preparatory lectures for those interested in attending the Spring School in Mathematical Statistics taking place March 30-April 3 at MPI MIS Leipzig.