Publications

Dresse, Menayit Tamrat, Pamela C. L. Ferreira, Akshay Prasadan, Jihui L. Diaz, Xuemei Zeng, Bruna Bellaver, Guilherme Povala, et al. 2025. “Plasma Biomarkers Identify Brain ATN Abnormalities in a Dementia-Free Population-Based Cohort.” Alzheimer’s Research & Therapy 17 (1): 173. https://doi.org/10.1186/s13195-025-01803-w.

Peng, Tuorui, Akshay Prasadan, and Matey Neykov. 2026. “Robust Mean Estimation Under Star-Shaped Constraints with Heavy-Tailed Noise.” https://arxiv.org/abs/2604.05063.

Prasadan, Akshay, Donald Estep, and Derek Bingham. 2026. “Continuity of the Solution of a Non-Parametric Bayesian Statistical Calibration Procedure.” https://arxiv.org/abs/2603.20665.

Prasadan, Akshay, David A. James, and Joel. Greenhouse. 2022. “Assessing CAR-T Immunotherapy Outcomes Using Multistate Models, Pharmacokinetics, and Tumor Burden.” Technical Report. Novartis.

Prasadan, Akshay, and Matey Neykov. 2025a. “Characterizing the minimax rate of nonparametric regression under bounded star-shaped constraints.” Electronic Journal of Statistics 19 (2): 3449–88. https://doi.org/10.1214/25-EJS2419.

———. 2025b. “Some Facts About the Optimality of the LSE in the Gaussian Sequence Model With Convex Constraint.” IEEE Transactions on Information Theory 71 (11): 8928–58. https://doi.org/10.1109/TIT.2025.3605342.

———. 2026. “Information theoretic limits of robust sub-Gaussian mean estimation under star-shaped constraints.” The Annals of Statistics 54 (1): 490–515. https://doi.org/10.1214/25-AOS2576.

Sasan, Prateek, Akshay Prasadan, and Vincent Q. Vu. 2026. “Computationally Sufficient Reductions for Some Sparse Multiway and Joint Matrix Estimators.”