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Markov Determinantal Point Process for Dynamic Random Sets

open access: yesJournal of Time Series Analysis, Volume 47, Issue 4, Page 784-802, July 2026.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Droughts and conflicts during the late Roman period. [PDF]

open access: yesClim Change
Norman C   +5 more
europepmc   +1 more source

Genetic histories of individuals from multi-faith medieval Sicily. [PDF]

open access: yesPLoS One
Monnereau A   +10 more
europepmc   +1 more source

Environmental change and globalization dynamics in Roman Anatolia: Stabilizing an accelerating system. [PDF]

open access: yesSci Adv
Doğan M   +6 more
europepmc   +1 more source

Bioarcheological Perspectives on the Timing of Adolescence in Rural Avar-Age Austria, 7th-9th Centuries ce. [PDF]

open access: yesAm J Biol Anthropol
Klostermann P   +7 more
europepmc   +1 more source

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