1 research outputs found

    Comments Regarding `On the Identifiability of the Influence Model for Stochastic Spatiotemporal Spread Processes'

    Full text link
    The identifiability analysis of a networked Markov chain model known as the influence model, as described in a recent contribution to Arxiv, is examined. Two errors in the identifiability analysis -- one related to the unidentifiability of the partially-observed influence model, the second related to an omission of an additional recurrence criterion for identifiability -- are noted. In addition, some concerns about the formulation of the identifiability problem and the proposed estimation approach are noted.Comment: 3 pages; the submission follows on a conversation with the authors, to attempt to resolve the inaccuracie
    corecore