Identifiability and Estimation of Partially Observed Influence Models
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DOI: 10.1109/lcsys.2022.3184958
Abstract: The influence model (IM) is a discrete-time stochastic model that captures the spatiotemporal dynamics of networked Markov chains. Partially-observed IM (POIM) is an IM in which the statuses for some sites are unobserved. Identifiability and… read more here.
Keywords: estimation partially; influence; estimation; identifiability estimation ... See more keywords