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stat.ME2026
Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality
Shunxing Yan, Fang Yao
Functional data analysis is an important statistical field that treats data as random functions. In practice, the random functions are often not fully observed but instead measured…
stat.ME2025
Deconfounding via Profiled Transfer Learning
Ziyuan Chen, Yifan Jiang, Jingyuan Liu +1
Unmeasured confounders are a major source of bias in regression-based effect estimation and causal inference. In this paper, we propose a new profiled transfer learning framework,…
stat.ME2025
Deep Semiparametric Partial Differential Equation Models
Ziyuan Chen, Shunxing Yan, Fang Yao
In many scientific fields, the generation and evolution of data are governed by partial differential equations (PDEs) which are typically informed by established physical laws at t…