3 papers
stat.ME2026
Tree-Embedded Bayesian Factor Models for Multidimensional Categorical Distributions
Naoki Awaya, Keisuke Sasaki, Genya Kobayashi +1
Analyzing data collected from multiple observational units to estimate common and heterogeneous structures through a hierarchical model is a central task in Bayesian inference, and…
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.ML2024
Generative modeling of density regression through tree flows
Zhuoqun Wang, Naoki Awaya, Li Ma
A common objective in the analysis of tabular data is estimating the conditional distribution (in contrast to only producing predictions) of a set of "outcome" variables given a se…