Mingliang Ma

Theoretical analysis of transfer learning for temporally dependent observations

This work focuses on high-dimensional vector autoregressive models and provides a two-step procedure to conduct transfer learning utilizing auxiliary data sets followed by constructing confidence intervals for model parameters in the high-dimensional regime.