  Applying an inductive technique for Stein and zero bias couplings yields
Berry-Esseen theorems for normal approximation for two new examples. The
conditions of the main results do not require that the couplings be bounded.
Our two applications, one to the Erd\H{o}s-R\'enyi, random graph with a fixed
number of edges, and one to Jack measure on tableaux, demonstrate that the
method can handle non-bounded variables with non-trivial global dependence, and
can produce bounds in the Kolmogorov metric with the optimal rate.
