Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Matrix Schubert varieties and Gaussian conditional...
Journal article

Matrix Schubert varieties and Gaussian conditional independence models

Abstract

Matrix Schubert varieties are certain varieties in the affine space of square matrices which are determined by specifying rank conditions on submatrices. We study these varieties for generic matrices, symmetric matrices, and upper triangular matrices in view of two applications to algebraic statistics: We observe that special conditional independence models for Gaussian random variables are intersections of matrix Schubert varieties in the …

Authors

Fink A; Rajchgot J; Sullivant S

Journal

Journal of Algebraic Combinatorics, Vol. 44, No. 4, pp. 1009–1046

Publisher

Springer Nature

Publication Date

December 2016

DOI

10.1007/s10801-016-0698-2

ISSN

0925-9899