Zobrazeno 1 - 10
of 229
pro vyhledávání: '"Ren, Boyu"'
Multi-source domain adaptation (DA) aims at leveraging information from more than one source domain to make predictions in a target domain, where different domains may have different data distributions. Most existing methods for multi-source DA focus
Externí odkaz:
http://arxiv.org/abs/2312.05460
Estimating heterogeneous treatment effects (HTEs) is crucial for precision medicine. While multiple studies can improve the generalizability of results, leveraging them for estimation is statistically challenging. Existing approaches often assume ide
Externí odkaz:
http://arxiv.org/abs/2306.01086
Although approaches for handling missing data from longitudinal studies are well-developed when the patterns of missingness are monotone, fewer methods are available for non-monotone missingness. Moreover, the conventional missing at random (MAR) ass
Externí odkaz:
http://arxiv.org/abs/2302.12894
In many psychometric applications, the relationship between the mean of an outcome and a quantitative covariate is too complex to be described by simple parametric functions; instead, flexible nonlinear relationships can be incorporated using penaliz
Externí odkaz:
http://arxiv.org/abs/2302.12866
Publikováno v:
In Journal of Adolescent Health November 2024 75(5):819-826
Autor:
van Gool, Raquel, Golden, Emma, Goodlett, Benjamin, Zhang, Fan, Vogel, Adam P., Tourville, Jason A., Yao, Kylie, Cay, Mariesa, Tiwari, Sneham, Yang, Edward, Zekelman, Leo R., Todd, Nick, O’Donnell, Lauren J., Ren, Boyu, Bodamer, Olaf A., Al-Hertani, Walla, Upadhyay, Jaymin
Publikováno v:
In Genetics in Medicine March 2024 26(3)
Publikováno v:
In Optics and Laser Technology March 2024 170
Motivated by environmental policy questions, we address the challenges of estimation, change point detection, and uncertainty quantification of a causal exposure-response function (CERF). Under a potential outcome framework, the CERF describes the re
Externí odkaz:
http://arxiv.org/abs/2105.03454
We consider prediction in multiple studies with potential differences in the relationships between predictors and outcomes. Our objective is to integrate data from multiple studies to develop prediction models for unseen studies. We propose and inves
Externí odkaz:
http://arxiv.org/abs/2007.12807
Publikováno v:
In Ocean Engineering 1 November 2023 287 Part 2