3 papers
stat.ME2026
A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
Hsin-Hsiung Huang, Yuh-Haur Chen, Teng Zhang
Replicated weighted networks often exhibit many structural zeros alongside heterogeneous non-zero edge strengths. In structural connectomics, this zero-inflation coincides with sub…
stat.ME2025
Cyclic-Shift Sparse Kronecker Tensor Classifier for Signal-Region Detection in Neuroimaging
Hsin-Hsiung Huang, Yuh-Haur Chen, Teng Zhang
This study proposes a cyclic-shift logistic sparse Kronecker product decomposition (SKPD) model for high-dimensional tensor data, enhancing the SKPD framework with a cyclic-shift m…
stat.ME2024
Fréchet Sufficient Dimension Reduction for Metric Space-Valued Data via Distance Covariance
Hsin-Hsiung Huang, Feng Yu, Kang Li +1
We propose a novel Fréchet sufficient dimension reduction (SDR) method based on kernel distance covariance, tailored for metric space-valued responses such as count data, probabil…