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stat.ME2026
On prediction-powered inference for quantile regression via convolution smoothing
Shota Takeishi, Jimin Ding, Xuming He
This paper studies quantile regression in a data-limited setting where the gold-standard outcome is available only for a limited number of observations, whereas a surrogate outcome…
stat.ME2025
Scalable Estimation of Crossed Random Effects Models via Multi-way Discretization
Shota Takeishi, Shonosuke Sugasawa
Cross-classified data frequently arise in scientific fields such as education, healthcare, and social sciences. A common modeling strategy is to introduce crossed random effects wi…