← All authors Joshua Cape University of Pittsburgh (from arXiv:1908.06438, 2019) · ORCID · OpenAlex
21 papers in scope · 20 published · 1 on the econ.EM arXiv · 204 citations · h-index 7 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Eric Auerbach Hossein Alidaee Michael P. Leung Lingxin Hao Carey E. Priebe Angelo Mele Brice Romuald Gueyap Kounga Ida Johnsson Alejandro Sánchez-Becerra Steven Wilkins Reeves Shane Lubold Hyungsik Roger Moon Mengsi Gao Shuyang Sheng Tyler H. McCormick Santiago Montoya-Blandón Martin Weidner Vincent Starck Shanjukta Nath Keith Warren Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (1 of 21)
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference
published 2026 · Statistical Science · 1 citations
with Joshua Agterberg
Joshua Cape’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al.
published 2026 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
Network Signflip Parallel Analysis for Selecting the Embedding Dimension
published 2026 · IEEE Transactions on Information Theory
with David Hong
Testing for latent structure via the Wilcoxon–Wigner random matrix of normalized rank statistics
published 2026 · Biometrika · first circulated 2025
with Jonquil Z. Liao
Simultaneous Estimation of Connectivity and Dimensionality in Samples of Networks
published 2025 · Journal of Computational and Graphical Statistics
with Wenlong Jiang, Chris McKennan, Jesús Arroyo
Multiple network embedding for anomaly detection in time series of graphs
published 2024 · Computational Statistics & Data Analysis · 7 citations · first circulated 2020
Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes
published 2024 · Neural Networks · 4 citations
with Madison Lewis, Wenlong Jiang, Nicholas Theis, Konasale M. Prasad
On Inference for Modularity Statistics in Structured Networks
published 2024 · Journal of Computational and Graphical Statistics
with Anirban Mitra, Konasale M. Prasad
On varimax asymptotics in network models and spectral methods for dimensionality reduction
published 2023 · Biometrika · 2 citations
Joshua Cape's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng
published 2023 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
Spectral Estimation of Large Stochastic Blockmodels with Discrete Nodal Covariates
published 2022 · Journal of Business and Economic Statistics · 7 citations
A Statistical Interpretation of Spectral Embedding: The Generalised Random Dot Product Graph
published 2022 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 115 citations · first circulated 2017
Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator
published 2022 · Bernoulli · 19 citations · first circulated 2017
Bayesian Sparse Spiked Covariance Model with a Continuous Matrix Shrinkage Prior
published 2022 · Bayesian Analysis · 10 citations
Eigenvalues of Stochastic Blockmodel Graphs and Random Graphs with Low-Rank Edge Probability Matrices
published 2021 · Sankhya A · 8 citations
with Avanti Athreya, Minh Tang
Spectral analysis of networks with latent space dynamics and signs
published 2021 · Stat · 3 citations
On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs
published 2019 · Network Science · 2 citations · first circulated 2018
working paper 2019 · arXiv · 7 citations
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics
published 2019 · The Annals of Statistics · 7 citations · first circulated 2017
Signal-plus-noise matrix models: eigenvector deviations and fluctuations
published 2018 · Biometrika · 3 citations
Estimating Heston's and Bates’ models parameters using Markov chain Monte Carlo simulation
published 2014 · Journal of Statistical Computation and Simulation · 9 citations
with William Dearden, William Gamber, Jeffrey Liebner, Qin Lu, Mai Nguyen
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