Publications

• A. Prasadan and M. Neykov. Characterizing the minimax rate of nonparametric regression under bounded star-shaped constraints, 2024. arXiv:2401.07968 [math.ST]. Under major revision at Electronic Journal of Statistics.
  
  

• 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]. Submitted.
  
  

• 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 major revision at Annals of Statistics.
  
  

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

• P. Sasan, A. Prasadan, and V. Q. Vu. Computationally sufficient reductions for some sparse multiway and joint matrix estimators, 2025. Submitted.
  
  

• 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, T. K. Karikari. Plasma biomarkers identify brain ATN abnormalities in a dementia-free population-based cohort, 2025. To appear in Alzheimer’s Research & Therapy.