Bounding the support of a measure from its marginal moments
Jean Lasserre (LAAS)

TL;DR
This paper develops a method to explicitly bound the support of a measure in Rn using its marginal moments, and provides a numerical scheme to find the minimal containing box.
Contribution
It introduces a hierarchy of generalized eigenvalue problems to compute support bounds from marginal moments, offering a new computational approach.
Findings
Explicit support bounds derived from moments.
Numerical scheme for minimal bounding box.
Applicable to measures in Rn.
Abstract
Given all moments of the marginals of a measure on Rn, one provides (a) explicit bounds on its support and (b), a numerical scheme to compute the smallest box that contains the support. It consists of solving a hierarchy of generalized eigenvalue problems associated with some Hankel matrices.
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