Minisymposium on Algebraic Statistics (MS26 and MS39)

July 12-16, 2010, Pittsburgh, Pennsylvania. The David L. Lawrence Convention Center

Algebraic statistics is a young, vibrant, quickly growing, and active discipline focused on the applications of algebraic geometry and its computational tools in statistical models. Areas of interest include experimental design, graphical models, maximum likelihood estimation and Bayesian methods. Recent work shows that we can apply theory in algebraic statistics to developing algorithms for problems in biology. The field draws its tools not only from computational algebraic geometry but also from tropical, convex, and information geometry. Moreover, research in algebraic statistics has led to new directions in those fields. The minisymposium will be a meeting point for students and leaders in the field.


Ruriko Yoshida, University of Kentucky

Confirmed speakers


July 13th, 2010 (10:30am to 12:30pm)

July 13th, 2010 (4:00pm to 6:00pm)