3RD CARLO ALBERTO STOCHASTICS WORKSHOP

The “Carlo Alberto Stochastics Workshops” are a series of workshops held at Collegio Carlo Alberto as part of the “de Castro” Statistics Initiative. The 3rd edition will take place on January 10-11, 2014, and the meeting aims at presenting some of the latest advances on

ALGEBRAIC STATISTICS.

In the last fifteen years, the use of algebraic and geometric methods in Probability and Statistics has led to relevant advances in Mathematical and Applied Statistics. The keyword Algebraic Statistics is used to denote the specific field of applications to Statistics of modern Computational Commutative Algebra. Applications of Algebraic Statistics range from the initial use in non-parametric goodness-of-fit testing for complex models in contingency table analysis (1996), in experimental design (1997) to many other applications, e.g. kernel method in machine learning (2012) to mention only one. Generally speaking, Algebraic Geometry is a nice tool to describe the geometrical structure of statistical models for discrete data and designed experiments and also for some continuous models, mainly Gaussian.

This is the fourth of a series of informal meetings on Algebraic Statistics held at the University of Genoa and Collegio Carlo Alberto, whose aim is to see what is around and what is coming up in Algebraic Statistics by putting the accent on the S.