Follow
Joshua Cape
Title
Cited by
Cited by
Year
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics
J Cape, M Tang, CE Priebe
Annals of Statistics 47 (5), 2405-2439, 2019
1412019
A statistical interpretation of spectral embedding: the generalised random dot product graph
P Rubin-Delanchy, J Cape, M Tang, CE Priebe
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022
126*2022
Inference for multiple heterogeneous networks with a common invariant subspace
J Arroyo, A Athreya, J Cape, G Chen, CE Priebe, JT Vogelstein
Journal of Machine Learning Research 22 (142), 1-49, 2021
1072021
On a two-truths phenomenon in spectral graph clustering
CE Priebe, Y Park, JT Vogelstein, JM Conroy, V Lyzinski, M Tang, ...
Proceedings of the National Academy of Sciences 116 (13), 5995-6000, 2019
822019
Signal-plus-noise matrix models: eigenvector deviations and fluctuations
J Cape, M Tang, CE Priebe
Biometrika 106 (1), 243-250, 2019
642019
Comparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing data
E Held, J Cape, N Tintle
BMC proceedings 10, 141-145, 2016
372016
Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator
M Tang, J Cape, CE Priebe
Bernoulli 28 (2), 1049-1073, 2022
36*2022
Spectral estimation of large stochastic blockmodels with discrete nodal covariates
A Mele, L Hao, J Cape, CE Priebe
Journal of Business & Economic Statistics 41 (4), 1364-1376, 2023
32*2023
On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs
J Cape, M Tang, CE Priebe
Network Science 7 (3), 269-291, 2019
272019
Eigenvalues of stochastic Blockmodel graphs and random graphs with low-rank edge probability matrices
A Athreya, J Cape, M Tang
Sankhya A, 1-28, 2022
19*2022
Bayesian sparse spiked covariance model with a continuous matrix shrinkage prior
F Xie, J Cape, CE Priebe, Y Xu
Bayesian Analysis 17 (4), 1193-1217, 2022
16*2022
On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates
C Mu, A Mele, L Hao, J Cape, A Athreya, CE Priebe
IEEE Transactions on Network Science and Engineering 9 (5), 3373--3384, 2022
14*2022
Structural covariance networks in schizophrenia: A systematic review Part I
K Prasad, J Rubin, A Mitra, M Lewis, N Theis, B Muldoon, S Iyengar, ...
Schizophrenia research 240, 1-21, 2022
142022
Structural covariance networks in schizophrenia: A systematic review Part II
K Prasad, J Rubin, A Mitra, M Lewis, N Theis, B Muldoon, S Iyengar, ...
Schizophrenia research 239, 176-191, 2022
132022
The Kato–Temple inequality and eigenvalue concentration with applications to graph inference
J Cape, M Tang, CE Priebe
Electronic Journal of Statistics 11 (2), 3954-3978, 2017
132017
Multiple network embedding for anomaly detection in time series of graphs
G Chen, J Arroyo, A Athreya, J Cape, JT Vogelstein, Y Park, C White, ...
arXiv preprint arXiv:2008.10055, 2020
122020
A note on the orthogonal Procrustes problem and norm-dependent optimality
J Cape
The Electronic Journal of Linear Algebra 36 (36), 158-168, 2020
9*2020
Estimating Heston's and Bates’ models parameters using Markov chain Monte Carlo simulation
J Cape, W Dearden, W Gamber, J Liebner, Q Lu, ML Nguyen
Journal of Statistical Computation and Simulation 85 (11), 2295-2314, 2015
92015
Symplectic reduction at zero angular momentum
J Cape, HC Herbig, C Seaton
Journal of Geometric Mechanics 8 (1), 13-34, 2016
62016
Threshold Selection for Brain Connectomes
N Theis, J Rubin, J Cape, S Iyengar, KM Prasad
Brain Connectivity 13 (7), 383-393, 2023
52023
The system can't perform the operation now. Try again later.
Articles 1–20