Math 2.0

Resources / preprint

When Is a Graph a Covariance? Bayesian Residual Propagation under Covariance Uncertainty 1T4SYTCKW8

URIm2://res/1T4SYTCKW8
Kindpreprint
CreatorsRobert Richardson
Date2026-10-04
MSC62-XX
Subjectsarxiv math.ST, arxiv stat.ML, arxiv stat.TH
Scopein

Expressions

e1: version, preprint

Languageen
Date2026-10-04
IdsarXiv 2610.04989

Items in this resource

The mentions of the inventory that name this resource. Each name links to the card of its inventory row.

ItemKindWhereSource
Single revealstatementcorollary 1arxiv
Propagation with zero residual covariancestatementcorollary 2arxiv
Propagation identity, multiple revealsstatementtheorem 1arxiv
Single revealstatementcorollary S1arxiv
GHA9MG8TN3statementproposition S2arxiv
Bayes-optimal linear propagationstatementproposition 2arxiv
Propagation identity, multiple revealsstatementtheorem S1arxiv
JMH30KF3HAstatementproposition S1arxiv
Sign rigiditystatementproposition 1arxiv
WCB6E63ACNstatementproposition S3arxiv

Catalogue records