Publications

[1] A. Prasadan, D. Estep, and D. Bingham (2026). Continuity of the Solution of a Non-Parametric Bayesian Statistical Calibration Procedure. arXiv preprint arXiv:2603.20665.

[2] A. Prasadan and M. Neykov, “Information theoretic limits of robust sub-Gaussian mean estimation under star-shaped constraints,” The Annals of Statistics, vol. 54, no. 1, pp. 490–515, 2026, doi: 10.1214/25-AOS2576.

[3] A. Prasadan and M. Neykov, “Some Facts About the Optimality of the LSE in the Gaussian Sequence Model With Convex Constraint,” IEEE Transactions on Information Theory, vol. 71, no. 11, pp. 8928-8958, Nov. 2025, doi: 10.1109/TIT.2025.3605342.

[4] A. Prasadan and M. Neykov, “Characterizing the minimax rate of nonparametric regression under bounded star-shaped constraints,” Electronic Journal of Statistics, vol. 19, no. 2, pp. 3449–3488, 2025, doi: 10.1214/25-EJS2419.

[5] M. T. Dresse, P. C. L. Ferreira, A. Prasadan, J. L. Diaz, X. Zeng, B. Bellaver, G. Povala, V. L. Villemagne, M. I. Kamboh, A. D. Cohen, T. A. Pascoal, M. Ganguli, B. E. Snitz, C. E. Shaaban, and T. K. Karikari, “Plasma biomarkers identify brain ATN abnormalities in a dementia-free population-based cohort,” Alzheimer’s Research & Therapy, vol. 17, no. 1, p. 173, 2025–7, doi: 10.1186/s13195-025-01803-w.

[6] P. Sasan, A. Prasadan, and V. Q. Vu, “Computationally sufficient reductions for some sparse multiway and joint matrix estimators,” 2024. Submitted.

[7] A. Prasadan, D. A. James, and J. Greenhouse, “Assessing CAR-T immunotherapy outcomes using multistate models, pharmacokinetics, and tumor burden,” Technical Report, Novartis, 2022.