Explain the comparative power of matrix- vs. scalar-valued test supermartingales
Provide a theoretical explanation for the empirical differences in power observed between matrix-valued and scalar-valued test supermartingales when testing the same sequential null hypotheses, clarifying when and why matrix-based methods are more powerful.
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.