Special Session on Advances in Algebraic Statistics
AMS 2010 Spring Southeastern Sectional Meeting Lexington, KY, March 27th28th, 2010.
Algebraic Statistics is the field focused on the applications of algebraic geometry and its computational tools in the study of statistical models. Areas of interest include categorial data analysis, experimental design, graphical models, maximum likelihood estimation, and Bayesian methods. Also recent work shows that we can apply theory in algebraic statistics to developing algorithms for problems in biology and also problems in computational biology enhance research in algebraic statistics. This session is meant to provide another meeting point for students and leaders in the field, continuing the tradition of focused meetings we have had in recent years.
Organizers
Sonja Petrovic, University of Illinois, Chicago
Ruriko Yoshida, University of Kentucky
Abstract submission
The deadline for abstract submission is January 26, 2010 (DATE CHANGED). LINK
Place
CB204 University of Kentucky Lexington KY
Restaurants
Restaurants in Lexington LINK
Events and extra information
Registration at Registration will start at 7:30am on Saturday March 27th outside room CB118.
Reception Saturday March 27th (6:157:45pm) at the King Alumni House
Welcome party at Yoshida's house at 7pm on March 26th Friday
Slides of talks
Slides of all talks (Coming up on Thurs April 1st 2010)
Confirmed speakers
 Enrico Carlini, Dipartimento di Matematica (DIMAT), Politecnico di Torino Parameterization of mixture of independence models
 Alexander Engstrom, Mathematics Department, University of California, Berkeley Ideals of Graph Homomorphisms
 Steve Fienberg, Statistics Department, Carnegie Mellon University Large Sparse Data and Algebraic Statistics: Is There a Connection?
 Roberto Fontana, Dipartimento di Matematica (DIMAT), Politecnico di Torino Algebraic generation of Orthogonal Fractional Factorial Designs
 Luis David GarciaPuente, Department of Mathematics and Statistics, Sam Houston State University Identifiability of Gaussian graphical model
 David Haws, Statistics Department, University of Kentucky Identifying Outlier Gene Trees: Gene Tree Distributions and Support Vector Machinery
 Valerie Hower, Mathematics Department, University of California, Berkeley Using sequence coverage statistics to determine protein binding sites in a genome
 Thomas Kahle, Max Planck Institute for Mathematics in the Sciences, Binomial Edge Ideals and Conditional Independence
 Anna Magdalena Kedzierska, University of Catalonia, Barcelona Model selection for mixture models
 Shaowei Lin, Mathematics Department, University of California, Berkeley Asymptotic Approximation of Marginal Likelihood Integrals.
 Helene Massam, Department of Mathematics and Statistics, York University The geometry of hierarchical discrete loglinear models
 Jason Morton, Mathematics and Statistics Department, Penn State University Geometry of Restricted Boltzmann Machines
 Fabio Rapallo, Dipartimento di Scienze e Tecnologie Avanzate Universita' del Piemonte Orientale Study of diagonaleffect models as toric and mixture models
 Megan Owen, Mathematics Department, North Carolina State University Averaging Metric Trees
 Alessandro Rinaldo, Statistics Department, Carnegie Mellon University On the Geometry of Discrete Exponential Families with Application to Exponential Random Graph Models
 Alexander Schoenhuth, Mathematics Department, University of California, Berkeley How to identify hidden Markov processesan algebraic statistical answer
 Aleksandra Slavkovic, Statistics Department, Penn State University Algebraic statistics framework for causal inference and data privacy with discrete data
 Erik Stokes, Mathematics Department, Michigan Tech Hierarchical Models, Markov Bases and StanleyReisner Ideals
 Seth Sullivant, Mathematics Department, North Carolina State University Identifiability of Phylogenetic Mixture Models
 Akimichi Takemura, Department of Mathematical Informatics, The University of Tokyo Hierarchical subspace models for contingency tables
 Caroline Uhler, Statistics Department, University of California, Berkeley Semidefinite matrix completion and Gaussian graphical models
 Marlos Viana, University of Illinois at Chicago Eye Center Spectral Analysis of Dihedral Data
 Han Xiao, Statistics Department, University of Chicago Smoothness of Gaussian conditional independence models
Schedule
SATURDAY
AM (8:30am11am)
Seth Sullivant (8:30)
Alexander Engstrom (9:00)
Alessandro Rinaldo (9:30)
Shaowei Lin (10:00)
Luis David GarciaPuente (10:30)
PM (2:30pm6pm)
Jason Morton (2:30)
Roberto Fontana (3:00)
Megan Owen (3:30)
David Haws (4:00)
Caroline Uhler (4:30)
Helene Massam (5:00)
Aleksandra Slavkovic (5:30)
SUNDAY

AM (8am11am)
Akimichi Takemura (8:00)
Valerie Hower (8:30)
Erik Stokes (9:00)
Fabio Rapallo (9:30)
Han Xiao (10:00)
Steve Fienberg (10:30)

PM (2:30pm5:00pm)
Anna Kedzierska (2:30)
Marlos Viana (3:00)
Enrico Carlini (3:30)
Thomas Kahle (4:00)
Alexander Schoenhuth (4:30)