SIAM Annual Meeting 2018: Algebraic Statistics Mini-Symposium
Main Conference: SIAM Annual Meeting 2018 July 9 to 13, 2018
Location: Oregon Convention Center, Portland, Oregon USA
Algebraic statistics is concerned with applying commutative algebra, algebraic geometry, and combinatorics to problems arising from statistics. This exchange across disciplines has resulted in innovative tools for parameter estimation, model selection, and hypothesis testing.
These minisymposia will focus on several current themes in algebraic
statistics including applications of algebraic geometry and
polyhedral geometry to data analysis, graphical models and
network models, and hidden variable models.
Carlos Amendola, TU Munich.
Elizabeth Gross, San Jose State University.
Jose Israel Rodriguez, University of Chicago.
Algebraic Statistics: Data Analysis MS5 (Monday 8:30 AM - 10:30 AM Room: A107). Miaoyan Wang (UW Madison) [Generalized linear models for binary-valued tensor response] Gregory Ongie (University of Michigan) [Algebraic Variety Models for Matrix Completion] Caprice Stanley (North Carolina State University) [Sampling Lattice Points in Polytopes]
Rudy Yoshida (Naval Postgraduate School) [Tropical Principal Component Analysis]Algebraic Statistics: Graphical and Network Models MS65 (Monday 4:00 PM - 6:00 PM Room: Oregon Ballroom 202/203). Eliana Duarte (Otto von Guericke Universitat Magdeburg) [Defining equations of Bayesian networks via colored probability trees] Caroline Uhler (MIT) [Your dreams may come true with MTP2] Ha Nguyen (Ohio State University) [Geometry of Exponential Random Graph Models] Dane Wilburne (Illinois Institute of Technology) [Exact tests for stochastic block models]
Algebraic Statistics: Hidden Variable Models MS49 (Tuesday 4:00 PM - 6:00 PM Room: A105). Carlos Amendola (TU Munich) [Mixture Models in Algebraic Statistics] Robert Krone (UC Davis) [Dimensions of group-based phylogenetic mixtures] Guido Montufar (UCLA) [Mixtures and Products in two Graphical Models] Serkan Hosten (San Francisco State University) [Maximum likelihood estimation for the Latent Class Model through model boundary decomposition] Extra Links SIAM Annual Meeting.
Numerical Differential Geometry meets Numerical Algebraic Geometry: Minisymposium at SIAM AN18.