Cancer is a highly heterogeneous disease, exhibiting spatial and temporal variations that pose challenges for designing robust therapies. Here, we propose the VEPART (Virtual Expansion of Populations for Analyzing Robustness of Therapies) technique as a platform that integrates experimental data, mathematical modeling, and statistical analyses for identifying robust optimal treatment protocols....

Data can be assumed to continuous functions defined on an infinite-dimensional space for many phenomena. However, the data might driven by a small number of latent variables. Hence, factor models are relevant functional data. In this paper, we study time-dependent We propose nonparametric estimators under stationary and nonstationary processes. obtain that consider time-dependence property. Spe...