Consistency of split-complexity pruning

Establish whether split-complexity pruning of the kernel dipole-splitting survival tree induces an asymptotic regime in which the clinical-stage cumulative-hazard estimator is consistent, thereby validating the consistency hypothesis required by Theorem 1.

Background

The theoretical residual-separation result assumes that the clinical survival tree consistently estimates the covariate-conditional cumulative hazard. Remark 1 explains that the default stopping rule, which prevents children from falling below a fixed minimum size, can produce leaves whose sample sizes do not increase with the total sample size; consequently, leaf-level Nelson–Aalen estimates need not converge. The paper therefore assumes a regime in which the tree partition stabilizes and leaf sample sizes grow, rather than proving that the implemented procedure enters such a regime.

The paper specifically identifies the unresolved issue as whether the split-complexity pruning procedure described in Section 3.3 can induce the required asymptotic behavior. Resolving this question would provide a formal consistency foundation for the clinical stage and strengthen the theoretical justification of the two-stage spatial-risk procedure.

References

Several further directions remain. Remark~\ref{rem:consistency} assumes rather than establishes the consistency of the clinical stage. Whether the split-complexity pruning of Section~\ref{sec:growing} induces a regime in which it holds is an open problem.

Separating Spatial and Clinical Risk with Node-Splitting SVM Survival Trees  (2608.13847 - Lazar et al., 14 Aug 2026) in Section 6, subsection “Future Work,” referring to Remark 1 and Section 3.3