as2014 at iit
Illinois Institute of Technology will host a conference on algebraic statistics
May 19-22, 2014
Algebraic statistics exploits algebraic geometry and related fields to solve problems in statistics and its applications. Methods from algebraic statistics have been successfully applied to address many problems including construction of Markov bases, theoretical study of phylogenetic mixture models, ecological inference, identifiability problems for graphical models, Bayesian integrals and singular learning theory, social networks, and coalescent theory. In addition to algebraic statistics' successes in solving statistical problems, its research objectives have driven theoretical developments in algebra.
The conference included one-hour invited talks, shorter contributed talks, and a poster session.
Luis David Garcia-Puente
Eduardo Sáenz de Cabezón
This conference continues the tradition of biennial algebraic statistics meetings in the US. The previous meeting was held at Penn State in 2012 (web: as2012 at psu).