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

Josephs, N., Feehan, D. M, & Crawford, F. W. (2021). A sample size heuristic for network scale-up studies. arXiv preprint arXiv:2111.09684.

Chen, L., Josephs, N., Zhou, J., Lin, L., & Kolaczyk, E. D. (2020). A spectral-based framework for hypothesis testing in populations of networks. To appear in Statistica Sinica.

Josephs, N., Lin, L., Rosenberg, S., & Kolaczyk, E. D. (2020). Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome. To appear in Annals of Applied Statistics. — 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.