Towards Efficient Inference and Sparse Dimension Reduction for Multi-Modal Data
Presented by Qi Xu Assistant Professor School of Statistics University of Minnesota Modern datasets often combine heterogeneous measurements, but incomplete observations and high dimensionality complicate statistical analysis. This talk presents methods that exploit the organization of these data to improve inference and estimate interpretable low-dimensional representations. The main focus is estimation under nonmonotone missingness, where…
