Výsledky vyhledávání - "Hong, Hyokyoung G."

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High-dimensional partial linear model with trend filtering

Autor: Lee, Sang Kyu, Hong, Hyokyoung G., Weng, Haolei, Loftfield, Erikka

We study the high-dimensional partial linear model, where the linear part has a high-dimensional sparse regression coefficient and the nonparametric part includes a function whose derivatives are of bounded total variation. We expand upon the univari

Externí odkaz: http://arxiv.org/abs/2410.20319

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Decomposition of Longitudinal Disparities: an Application to the Fetal Growth-Singletons Study

Autor: Lee, Sang Kyu, Kim, Seonjin, Kim, Mi-Ok, Grantz, Katherine L., Hong, Hyokyoung G.

Addressing health disparities among different demographic groups is a key challenge in public health. Despite many efforts, there is still a gap in understanding how these disparities unfold over time. Our paper focuses on this overlooked longitudina

Externí odkaz: http://arxiv.org/abs/2404.11675

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Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome study

Autor: Park, Seyoung, Lee, Eun Ryung, Hong, Hyokyoung G.

Health outcomes, such as body mass index and cholesterol levels, are known to be dependent on age and exhibit varying effects with their associated risk factors. In this paper, we propose a novel framework for dynamic modeling of the associations bet

Externí odkaz: http://arxiv.org/abs/2308.04212

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Inference for High Dimensional Censored Quantile Regression

Autor: Fei, Zhe, Zheng, Qi, Hong, Hyokyoung G., Li, Yi

With the availability of high dimensional genetic biomarkers, it is of interest to identify heterogeneous effects of these predictors on patients' survival, along with proper statistical inference. Censored quantile regression has emerged as a powerf

Externí odkaz: http://arxiv.org/abs/2107.10959

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Estimation of time-varying reproduction numbers underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic

Autor: Hong, Hyokyoung G., Li, Yi

The coronavirus pandemic has rapidly evolved into an unprecedented crisis. The susceptible-infectious-removed (SIR) model and its variants have been used for modeling the pandemic. However, time-independent parameters in the classical models may not

Externí odkaz: http://arxiv.org/abs/2004.05730

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