Statistical inference on random dot product graphs: a survey
Avanti Athreya, Donniell E Fishkind, Donniell E. Fishkind, Minh Tang, Carey E Priebe, Carey E. Priebe, Youngser Park, Joshua T Vogelstein, Joshua T. Vogelstein, Keith Levin, Vince Lyzinski, Yichen Qin, Daniel L Sussman, Daniel L. Sussman
Paper
From BibTeX import
Journal of Machine Learning Research 18, pp. 1–92, 2018
Notes
We anchor riva2026random in the RDPG framework via this survey, which catalogs the spectral estimation theory and applications to connectome analysis and social network inference that we build on.
Paired with Young and Scheinerman as the survey reference for RDPG inference, supplying the statistical machinery whose dot-product affinity structure riva2026intensity preserves while randomizing the latent population.
References
No references yet.