ABSTRACT
In this chapter, we discuss several extensions or future works based on the previously introduced DNN-assisted methods. For example, the two-group comparison with the parametric assumption in Chapter 3 can be generalized to nonparametric hypothesis testing and multiple comparisons. For the point estimation in Chapter 4, we discuss some potential methods to construct confidence intervals for statistical inference, and to harmonize such inference results with hypothesis testing. The optimization in Chapter 5 has the potential to be more general to handle varying observed data. We hope that more generalizations and new methods can be stimulated by some of the methods discussed in this book.
