Comments Regarding `On the Identifiability of the Influence Model for Stochastic Spatiotemporal Spread Processes'
Systems and Control
2018-11-07 v1
Abstract
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.
Keywords
Cite
@article{arxiv.1811.02171,
title = {Comments Regarding `On the Identifiability of the Influence Model for Stochastic Spatiotemporal Spread Processes'},
author = {Sandip Roy},
journal= {arXiv preprint arXiv:1811.02171},
year = {2018}
}
Comments
3 pages; the submission follows on a conversation with the authors, to attempt to resolve the inaccuracies