Daniel L. Sussman

Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks

Dec 26, 2018
Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski

Figure 2 for Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks

Figure 3 for Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks

Figure 4 for Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks

Access Paper or Ask Questions

Matched Filters for Noisy Induced Subgraph Detection

Mar 06, 2018
Daniel L. Sussman, Vince Lyzinski, Youngser Park, Carey E. Priebe

Figure 2 for Matched Filters for Noisy Induced Subgraph Detection

Figure 3 for Matched Filters for Noisy Induced Subgraph Detection

Figure 4 for Matched Filters for Noisy Induced Subgraph Detection

* 29 pages, 8 figures

Access Paper or Ask Questions

Connectome Smoothing via Low-rank Approximations

Jan 18, 2018
Runze Tang, Michael Ketcha, Alexandra Badea, Evan D. Calabrese, Daniel S. Margulies, Joshua T. Vogelstein, Carey E. Priebe, Daniel L. Sussman

Figure 2 for Connectome Smoothing via Low-rank Approximations

Figure 3 for Connectome Smoothing via Low-rank Approximations

Figure 4 for Connectome Smoothing via Low-rank Approximations

* 43 pages, 15 figures

Access Paper or Ask Questions

Statistical inference on random dot product graphs: a survey

Sep 16, 2017
Avanti Athreya, Donniell E. Fishkind, Keith Levin, Vince Lyzinski, Youngser Park, Yichen Qin, Daniel L. Sussman, Minh Tang, Joshua T. Vogelstein, Carey E. Priebe

Figure 2 for Statistical inference on random dot product graphs: a survey

Figure 3 for Statistical inference on random dot product graphs: a survey

Figure 4 for Statistical inference on random dot product graphs: a survey

* Journal of Machine Learning Research, 2018
* An expository survey paper on a comprehensive paradigm for inference for random dot product graphs, centered on graph adjacency and Laplacian spectral embeddings. Paper outlines requisite background; summarizes theory, methodology, and applications from previous and ongoing work; and closes with a discussion of several open problems

Access Paper or Ask Questions

Empirical Bayes Estimation for the Stochastic Blockmodel

Feb 09, 2016
Shakira Suwan, Dominic S. Lee, Runze Tang, Daniel L. Sussman, Minh Tang, Carey E. Priebe

Figure 2 for Empirical Bayes Estimation for the Stochastic Blockmodel

Figure 3 for Empirical Bayes Estimation for the Stochastic Blockmodel

Figure 4 for Empirical Bayes Estimation for the Stochastic Blockmodel

* to appear at Electronic Journal of Statistics

Access Paper or Ask Questions

Analyzing statistical and computational tradeoffs of estimation procedures

Jun 25, 2015
Daniel L. Sussman, Alexander Volfovsky, Edoardo M. Airoldi

Figure 2 for Analyzing statistical and computational tradeoffs of estimation procedures

Figure 3 for Analyzing statistical and computational tradeoffs of estimation procedures

Figure 4 for Analyzing statistical and computational tradeoffs of estimation procedures

Access Paper or Ask Questions

Spectral Clustering for Divide-and-Conquer Graph Matching

Mar 12, 2015
Vince Lyzinski, Daniel L. Sussman, Donniell E. Fishkind, Henry Pao, Li Chen, Joshua T. Vogelstein, Youngser Park, Carey E. Priebe

* 32 pages, 8 figures

Access Paper or Ask Questions

Statistical inference on errorfully observed graphs

Jul 21, 2014
Carey E. Priebe, Daniel L. Sussman, Minh Tang, Joshua T. Vogelstein

* 30 pages, 8 figures

Access Paper or Ask Questions

A central limit theorem for scaled eigenvectors of random dot product graphs

Dec 23, 2013
Avanti Athreya, Vince Lyzinski, David J. Marchette, Carey E. Priebe, Daniel L. Sussman, Minh Tang

Figure 2 for A central limit theorem for scaled eigenvectors of random dot product graphs

Figure 3 for A central limit theorem for scaled eigenvectors of random dot product graphs

* 24 pages, 2 figures

Access Paper or Ask Questions

Universally consistent vertex classification for latent positions graphs

Aug 13, 2013
Minh Tang, Daniel L. Sussman, Carey E. Priebe

* Annals of Statistics 2013, Vol. 41, No. 3, 1406-1430
* Published in at http://dx.doi.org/10.1214/13-AOS1112 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Access Paper or Ask Questions

1

2

>>