Determine the compound minimax rate for discrete output laws
Determine the compound minimax recalibration risk when the common output law \(\mu\) has \(L\) atoms, as a function of \(m\), \(n\), \(L\), the sup-distance heterogeneity parameter \(\tau\), and the variation parameter \(V\), including the interpolation between a parametric regime for small \(L\) and the nonparametric rate \(\Phi(m,n,\tau,V)\).
References
Determine the compound minimax rate when $\mu$ has $L$ atoms, as a function of $(m,n,L,\tau,V)$. Per-atom averaging suggests a parametric regime when $L$ is small compared with $(mn){1/3}$, and the answer should interpolate between it and $\Phi$.
Per-question tuning around a shape estimated from the pooled data is open problem~7. For that class there is numerical evidence (E1) that it also loses at moderate sizes (\cref{fig:e01-adaptivity}(a),(b)).
A worst-question guarantee, on $\max_jE#1{g_j-g_j}2$, for the adaptive procedure is open problem~8.