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Tomoshige Nakamura

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Preprint Sep 2026

Debiased and Simultaneous Inference for Heterogeneous Factorial Effect Modifiers via Residualized Walsh-Hadamard Scores

In factorial randomized experiments with $K$ binary treatment components, we study which baseline covariates modify component main effects and interactions. We define effect-modifier cells $(j,S)$, $j\in[p]$ and $\emptyset\neq S\subseteq[K]$, through the coefficients $\theta^\ast_{jS}$ of population linear projections...

Tomoshige Nakamura, Ryo Emoto · 0 citations
Preprint Sep 2026

Selective Inference for CART with Binary Outcomes

Finite-sample conditional tests of a common success probability within a parent selected by deterministic Gini CART, which separate information loss from computational limitations and exhibit a selected fiber disconnected under single-label swaps.

Tomoshige Nakamura · 0 citations

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