Josephs, N., Peng, S., & Crawford, F. W. (2022). Communication network dynamics in a large organizational hierarchy. arXiv preprint arXiv:2208.01208.

Shen, L., Amini, A., Josephs, N., & Lin, L. (2022). Bayesian community detection for networks with covariates. arXiv preprint arXiv:2203.02090. Code


Chen, L., Josephs, N., Zhou, J., Lin, L., & Kolaczyk, E. D. (2023+). A spectral-based framework for hypothesis testing in populations of networks. Statistica Sinica (In press).

Josephs, N., Lin, L., Rosenberg, S., & Kolaczyk, E. D. (2023). Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome. The Annals of Applied Statistics. — Code

Josephs, N., Feehan, D. M, & Crawford, F. W. (2022). A sample size formula for network scale-up studies. Sociological Methods & Research. Code

Josephs, N., Li, W., & Kolaczyk, E. D. (2022) Network Recovery from Unlabeled Noisy Samples. 2021 55th Asilomar Conference on Signals, Systems, and Computers. — Code

Thompson, L. L., Chang, M. S., Polyakov, N. J., Blum, A. E., Josephs, N., Krasnow, N. A., Yoon, J., Li, E. B., Molina, G. E., Said, J. T., Huang, K., Kuchroo, J. R., Hinton, A. N., & Chen, S. T. (2021). Prognostic significance of cutaneous immune-related adverse events in patients with melanoma and other cancers on immune checkpoint inhibitors. Journal of the American Academy of Dermatology.

Condylis, C., Lowet, E., Ni, J., Bistrong, K., Ouellette, T., Josephs, N., & Chen, J. L. (2020). Context-dependent sensory processing across primary and secondary somatosensory cortex. Neuron.


Josephs, N. (2021). Statistical Solutions for Multiple Networks. PhD dissertation.

Josephs, N. (2015). Finding Rational Solutions on a Nonsingular Cubic Surface in P^ 3. MA thesis.