Publications

[1] A. Prasadan and M. Neykov, “Characterizing the minimax rate of nonparametric regression under bounded star-shaped constraints,” Electronic Journal of Statistics, 19(2), pp. 3449-3488, 2025.

[2] 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, 17, no. 173, Jul. 2025. DOI: 10.1186/s13195-025-01803-w

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

[4] A. Prasadan and M. Neykov. “Information theoretic limits of robust sub-Gaussian mean estimation under star-shaped constraints,” 2024. arXiv:2412.03832 [math.ST]. Under minor revision at Annals of Statistics.

[5] A. Prasadan and M. Neykov, “Some facts about the optimality of the LSE in the Gaussian sequence model with convex constraint,” 2024. arXiv:2406.05911 [math.ST]. Accepted at IEEE Transactions on Information Theory.

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