Fetching the paper…
Reading the bibliography…
Performing statistical analyses on collections of graphs is of import to many disciplines, but principled, scalable methods for multi-sample graph inference are few.
The generalization of Student’s ratio
H. Hotelling · 1931
Earlier work this paper cites.
The rotation of eigenvectors by a perturbation
C. Davis and W. M. Kahan · 1970
Earlier work this paper cites.
Generalized procrustes analysis
J. C. Gower · 1975
Earlier work this paper cites.
The eigenvalues of random symmetric matrices
Z. Füredi and J. Komlós · 1981
Earlier work this paper cites.
Stochastic blockmodels: first steps
P. W Holland, K. B. Laskey, and S. Leinhardt · 1983
Earlier work this paper cites.
Matrix Analysis
R. Horn and C. Johnson · 1985
Earlier work this paper cites.
Matrix Analysis
R. Bhatia · 1997
Earlier work this paper cites.
Statistical Shape Analysis
I. L. Dryden and K. V. Mardia · 1998
Earlier work this paper cites.
Multidimensional Scaling
M.A.A Cox and Trevor Cox · 2000
Earlier work this paper cites.
Latent space approaches to social network analysis
P. D. Hoff, A. E. Raftery, and M. S. Handcock · 2002
Earlier work this paper cites.
An Introduction to Multivariate Statistical Analysis
T. W. Anderson · 2003
Earlier work this paper cites.
Laplacian eigenmaps for dimensionality reduction and data representation
M. Belkin and P. Niyogi · 2003
Earlier work this paper cites.
Automatic dimensionality selection from the scree plot via the use of profile likelihood
M. Zhu and A. Ghodsi · 2006
Earlier work this paper cites.
Random dot product graph models for social networks
S. Young and E. Scheinerman · 2007
Cited alongside, same era.
Graph limits and exchangeable random graphs
P. Diaconis and S. Janson · 2008
Cited alongside, same era.
Concentration of the adjacency matrix and of the Laplacian in random graphs with independent edges
R. I. Oliveira · 2009
Cited alongside, same era.
Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia
S. Whitfield-Gabrieli, H. W. Thermenos, S. Milanovic, M. T. Tsuang, S. V. Faraone, R. W. McCarley, M. E. Shenton, A. I. Green, A. Nieto-Castanon, P. LaViolette, J. Wojcik, J. D. Gabrieli, and L. J. Seidman · 2009
Cited alongside, same era.
Stochastic blockmodels and community structure in networks
B. Karrer and M. E. J. Newman · 2011
Cited alongside, same era.
Role of normalization for spectral clustering in stochastic blockmodels
P. Bickel and P. Sarkar · 2015
Later among the works it cites.
Matrix estimation by universal singular value thresholding
S. Chatterjee · 2015
Later among the works it cites.
The wandering brain: meta-analysis of functional neuroimaging studies of mind-wandering and related spontaneous thought processes
K. C. Fox, R. N. Spreng, M. Ellamil, J. R. Andrews-Hanna, and K. Christoff · 2015
Later among the works it cites.
An introduction to matrix concentration inequalities
J. A. Tropp · 2015
Later among the works it cites.
A useful variant of the Davis-Kahan theorem for statisticians
Y. Yu, T. Wang, and R. J. Samworth · 2015
Later among the works it cites.
A limit theorem for scaled eigenvectors of random dot product graphs
A. Athreya, V. Lyzinski, D. J. Marchette, C. E. Priebe, D. L. Sussman, and M. Tang · 2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Functional network organization of the human brain
J. D. Power, A. L. Cohen, S. M. Nelson, G. S. Wig, K. A. Barnes, J. A. Church, A. C. Vogel, T. O. Laumann, F. M. Miezin, B. L. Schlaggar, et al · 2011
Cited alongside, same era.
A consistent adjacency spectral embedding for stochastic blockmodel graphs
D. L. Sussman, M. Tang, D. E. Fishkind, and C. E. Priebe · 2012
Cited alongside, same era.
Random matrices: Universal properties of eigenvectors
T. Tao and V. Vu · 2012
Cited alongside, same era.
Spectra of edge-independent random graphs
L. Lu and X. Peng · 2013
Cited alongside, same era.
Universally consistent vertex classification for latent position graphs
M. Tang, D. L. Sussman, and C. E. Priebe · 2013
Cited alongside, same era.
Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding
V. Lyzinski, D. L. Sussman, M. Tang, A. Athreya, and C. E. Priebe · 2014
Cited alongside, same era.
Network histograms and universality of block model approximation
S. C. Olhede and P. J. Wolfe · 2014
Cited alongside, same era.
Later among the works it cites.
R. Tang, M. Ketcha, J. T. Vogelstein, C. E. Priebe, and D. L. Sussman · 2016
Later among the works it cites.
Multimodal Neuroimaging in Schizophrenia: Description and Dissemination
C. J. Aine, H. J. Bockholt, J. R. Bustillo, J. M. Cañive, A. Caprihan, C. Gasparovic, F. M. Hanlon, J. M. Houck, R. E. Jung, J. Lauriello, J. Liu, A. R. Mayer, N. I. Perrone-Bizzozero, S. Posse, J. M. Stephen, J. A. Turner, V. P. Clark, and Vince D. Calhoun · 2017
Closest in time.
Community detection and classification in hierarchical stochastic blockmodels
V. Lyzinski, M. Tang, A. Athreya, Y. Park, and C. E. Priebe · 2017
Closest in time.
The geometry of continuous latent space models for network data
A. L. Smith, D. Asta, and C. A. Calder · 2017
Closest in time.
A high-throughput pipeline identifies robust connectomes but troublesome variability
Kiar · 2018
Closest in time.
Limit theorems for eigenvectors of the normalized laplacian for random graphs
M. Tang and C. E. Priebe · 2018
Closest in time.