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stat.ME2026
A tree-based kernel for densities and its applications in clustering DNase-seq profiles
Yuliang Xu, Kaixuan Luo, Li Ma
Modeling multiple sampling densities within a hierarchical framework enables borrowing of information across samples. These density random effects can act as kernels in latent vari…
stat.ME2026
Two-sample comparison through additive tree models for density ratios
Naoki Awaya, Yuliang Xu, Li Ma
The ratio of two densities provides a direct characterization of their differences. We consider the two-sample comparison problem by estimating this ratio given i.i.d. observations…
stat.ME2025
Distributional Evaluation of Generative Models via Relative Density Ratio
Yuliang Xu, Yun Wei, Li Ma
We propose a function-valued evaluation metric for generative models based on the relative density ratio (RDR) designed to characterize distributional differences between real and…