Additional Campus Affiliations
Assistant Professor, Statistics
External Links
Highlighted Publications
Agterberg, J., & Zhang, A. R. (2025). Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound. Journal of the American Statistical Association, 120(550), 1214-1224. https://doi.org/10.1080/01621459.2024.2404265
Agterberg, J., Lubberts, Z., & Priebe, C. E. (2022). Entrywise Estimation of Singular Vectors of Low-Rank Matrices With Heteroskedasticity and Dependence. IEEE Transactions on Information Theory, 68(7), 4618-4650. https://doi.org/10.1109/TIT.2022.3159085
Agterberg, J., & Sulam, J. (2022). Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms. Proceedings of Machine Learning Research, 151, 6591-6629.
Recent Publications
Agterberg, J., & Cape, J. (2026). An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference. Statistical Science, 41(2), 354-385. https://doi.org/10.1214/24-STS970
Agterberg, J. (2026). Joshua Agterberg’s Discussion of ‘Statistical exploration of the manifold hypothesis’ by Whiteley et al. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 88(2), 400-402. https://doi.org/10.1093/jrsssb/qkag038
Agterberg, J., Tang, M., & Priebe, C. (2026). Nonparametric two-sample hypothesis testing for low-rank random graphs of differing sizes. Electronic Journal of Statistics, 20(1), 1067-1115. https://doi.org/10.1214/26-EJS2508
Agterberg, J., & Zhang, A. R. (2025). Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound. Journal of the American Statistical Association, 120(550), 1214-1224. https://doi.org/10.1080/01621459.2024.2404265
Agterberg, J., Lubberts, Z., & Arroyo, J. (2025). Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels. Journal of the American Statistical Association, 120(551), 1607-1620. https://doi.org/10.1080/01621459.2025.2516201