Author

Grace Y. Yi

2 papers indexed here

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Nov 2026

Debiased estimation and variable selection under function-on-scalar linear regression models with ultrahigh-dimensional covariates subject to measurement error

In real-world applications, data are often error-contaminated; naively applying conventional methods without accommodating the measurement error effects often yields inconsistent estimates. Biased results can be further exacerbated by the ultrahigh-dimensionality of covariates. Focusing on the widely used function-on-s...

Yifan Sun, Grace Y. Yi · Bernoulli · 0 citations

#machine learning Preprint Aug 2026

A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity

A unified probabilistic framework that jointly addresses missing data, measurement error, and population heterogeneity utilizing deep latent variable representation is proposed that integrates a novel hierarchical tree-routed variational autoencoder with pattern-aware latent representations and calibration-based denois...

Yasin Khadem Charvadeh, Grace Y. Yi, M. Gönen et al. · 0 citations