Investigate matrix e-processes
Investigate the theory of matrix e-processes, including their construction, properties, and potential advantages for composite sequential testing with matrix-valued data, beyond the initial formulations presented in this work.
References
We also leave open some questions for future studies to address. These include a deeper understanding of the matrix randomizer U in our paper, which belongs to the "trace super-uniform" distribution family; tighter p-Chebyshev inequalities; further investigation into matrix-valued e-processes; as well as the theoretical explanation of our comparison between matrix-valued test supermartingales and scalar-valued test supermartingales when testing sequentially the same null hypotheses.
— Positive Semidefinite Matrix Supermartingales
(2401.15567 - Wang et al., 28 Jan 2024) in Conclusion