Total Positivity in Markov Structures

Shaun Fallat, Steffen L. Lauritzen, Kayvan Sadeghi, Caroline Uhler, Nanny Wermuth, Piotr Zwiernik

16 Citationer (Scopus)

Abstract

We discuss properties of distributions that are multivariate totally positive of order two (MTP2) related to conditional independence. In particular, we show that any independence model generated by an MTP2 distribution is a compositional semi-graphoid which is upward-stable and singletontransitive. In addition, we prove that any MTP2 distribution satisfying an appropriate support condition is faithful to its concentration graph. Finally, we analyze factorization properties of MTP2 distributions and discuss ways of constructing MTP2 distributions; in particular, we give conditions on the log-linear parameters of a discrete distribution which ensure MTP2 and characterize conditional Gaussian distributions which satisfy MTP2.

OriginalsprogEngelsk
TidsskriftAnnals of Statistics
Vol/bind45
Udgave nummer3
Sider (fra-til)1152-1184
ISSN0090-5364
DOI
StatusUdgivet - jun. 2017

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