Supplemental material
Journal of the American Statistical Association
Volume 117, 2022 - Issue 537
Theory and Methods
Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks
, , 
&
Jason Xua Department of Statistical Science, Duke University, Durham, NCCorrespondence[email protected]
https://orcid.org/0000-0001-5472-3720View further author information
https://orcid.org/0000-0001-5472-3720View further author information & Alexander Volfovskya Department of Statistical Science, Duke University, Durham, NChttps://orcid.org/0000-0003-4462-1020View further author information
https://orcid.org/0000-0003-4462-1020View further author informationReprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related Research Data
Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks
Source:
Taylor & Francis
Linking provided by
