PSU Mark
Eberly College of Science Mathematics Department

Meeting Details

For more information about this meeting, contact Mari Royer.

Title:Algebraic Models for Multilinear Dependence
Seminar:Job Candidate Talk
Speaker:Jason Morton
Abstract:
Abstract: We discuss a new statistical technique inspired by research in tensor geometry and making use of cumulants, the higher order tensor analogs of the covariance matrix. For non-Gaussian data not derived from independent factors, tensor decomposition techniques for factor analysis such as Principal Component Analysis and Independent Component Analysis are inadequate. Seeking a small, closed space of models which is computable and captures higher-order dependence leads to a proposed extension of PCA and ICA, Principal Cumulant Component Analysis (PCCA). Estimation is performed by maximization over a Grassmannian.

Room Reservation Information

Room Number:MB114
Date:04 / 08 / 2009
Time:03:30pm - 04:30pm