Saved in:
| Main Authors: | Wang, Shao-Hsuan, Huang, Hsin-Hsiung |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.13821 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cyclic-Shift Sparse Kronecker Tensor Classifier for Signal-Region Detection in Neuroimaging
by: Huang, Hsin-Hsiung, et al.
Published: (2025)
by: Huang, Hsin-Hsiung, et al.
Published: (2025)
Bayesian sparse principal coordinates analysis with delta-tolerant linear approximation for microbiome data
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
A Framework of Zero-Inflated Bayesian Negative Binomial Regression Models For Spatiotemporal Data
by: He, Qing, et al.
Published: (2024)
by: He, Qing, et al.
Published: (2024)
Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors
by: Wang, Shao-Hsuan, et al.
Published: (2022)
by: Wang, Shao-Hsuan, et al.
Published: (2022)
Bayesian low-rank latent-cluster regression for mixed health outcomes
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
Low-Rank Regularization of Global Fréchet Regression Models for Distributional Responses
by: Han, Kyunghee, et al.
Published: (2025)
by: Han, Kyunghee, et al.
Published: (2025)
Bayesian Adaptive Tucker Decompositions for Tensor Factorization
by: Stolf, Federica, et al.
Published: (2024)
by: Stolf, Federica, et al.
Published: (2024)
A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
Flexible Bayesian Tensor Decomposition for Verbal Autopsy Data
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
Nonlinear Regression Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2024)
by: Huang, Hsin-Hsiung, et al.
Published: (2024)
Reduced Rank Regression for Mixed Predictor and Response Variables
by: de Rooij, Mark, et al.
Published: (2024)
by: de Rooij, Mark, et al.
Published: (2024)
On Testing Kronecker Product Structure in Tensor Factor Models
by: Cen, Zetai, et al.
Published: (2025)
by: Cen, Zetai, et al.
Published: (2025)
Spectral Change Point Estimation for High Dimensional Time Series by Sparse Tensor Decomposition
by: Zhang, Xinyu, et al.
Published: (2023)
by: Zhang, Xinyu, et al.
Published: (2023)
HIMCE: High-dimensional multiple imputation via covariance-mode updating for neuroimaging and spatiotemporal blocks
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inference
by: Xie, Fangzheng, et al.
Published: (2025)
by: Xie, Fangzheng, et al.
Published: (2025)
Robust Sufficient Dimension Reduction via $α$-Distance Covariance
by: Huang, Hsin-Hsiung, et al.
Published: (2024)
by: Huang, Hsin-Hsiung, et al.
Published: (2024)
CoMET: A Compressed Bayesian Mixed-Effects Model for High-Dimensional Tensors
by: Sarkar, Sreya, et al.
Published: (2026)
by: Sarkar, Sreya, et al.
Published: (2026)
Sparse Bayesian Multidimensional Item Response Theory
by: Li, Jiguang, et al.
Published: (2023)
by: Li, Jiguang, et al.
Published: (2023)
Compressed Bayesian Tensor Regression
by: Casarin, Roberto, et al.
Published: (2025)
by: Casarin, Roberto, et al.
Published: (2025)
Fréchet Sufficient Dimension Reduction for Metric Space-Valued Data via Distance Covariance
by: Huang, Hsin-Hsiung, et al.
Published: (2024)
by: Huang, Hsin-Hsiung, et al.
Published: (2024)
Predictor-Informed Bayesian Nonparametric Clustering
by: Parh, Md Yasin Ali, et al.
Published: (2025)
by: Parh, Md Yasin Ali, et al.
Published: (2025)
Deep Probabilistic Spatial Modeling for Multivariate Mixed-Type Responses
by: Jeon, Yeseul, et al.
Published: (2026)
by: Jeon, Yeseul, et al.
Published: (2026)
BASTION: A Bayesian Framework for Trend and Seasonality Decomposition
by: Cho, Jason B., et al.
Published: (2026)
by: Cho, Jason B., et al.
Published: (2026)
Bayesian Methods in Tensor Analysis
by: Shi, Yiyao, et al.
Published: (2023)
by: Shi, Yiyao, et al.
Published: (2023)
Multi-Layer Backward Joint Model for Dynamic Prediction of Clinical Events with Multivariate Longitudinal Predictors of Mixed Types
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
Sparse Fréchet Sufficient Dimension Reduction with Graphical Structure Among Predictors
by: Weng, Jiaying, et al.
Published: (2023)
by: Weng, Jiaying, et al.
Published: (2023)
SARMA: Scalable Low-Rank High-Dimensional Autoregressive Moving Averages via Tensor Decomposition
by: Huang, Feiqing, et al.
Published: (2024)
by: Huang, Feiqing, et al.
Published: (2024)
Kantorovich Regression Analysis of Random Distributions with Mixed Predictors
by: Kim, Kaheon, et al.
Published: (2026)
by: Kim, Kaheon, et al.
Published: (2026)
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
by: Li, Jingyang, et al.
Published: (2025)
by: Li, Jingyang, et al.
Published: (2025)
Generalized Multi-Linear Models for Sufficient Dimension Reduction on Tensor Valued Predictors
by: Kapla, Daniel, et al.
Published: (2025)
by: Kapla, Daniel, et al.
Published: (2025)
Sparse Bayesian Factor Models with Mass-Nonlocal Factor Scores
by: Huang, Yingjie, et al.
Published: (2024)
by: Huang, Yingjie, et al.
Published: (2024)
Bayesian Tensor-on-Tensor Varying Coefficient Model for Forecasting Alzheimer's Disease Progression
by: Liu, Yajie, et al.
Published: (2026)
by: Liu, Yajie, et al.
Published: (2026)
Tensor Decomposition with Unaligned Observations
by: Tang, Runshi, et al.
Published: (2024)
by: Tang, Runshi, et al.
Published: (2024)
Scale-Invariant Robust Estimation of High-Dimensional Kronecker-Structured Matrices
by: Zhang, Xiaoyu, et al.
Published: (2025)
by: Zhang, Xiaoyu, et al.
Published: (2025)
Estimation Strategies for Causal Decomposition Analysis with Allowability Specifications
by: Jackson, John W., et al.
Published: (2026)
by: Jackson, John W., et al.
Published: (2026)
Sparse Bayesian multidimensional scaling(s)
by: Sheth, Ami, et al.
Published: (2024)
by: Sheth, Ami, et al.
Published: (2024)
Tensor Stochastic Regression for High-dimensional Time Series via CP Decomposition
by: Li, Shibo, et al.
Published: (2025)
by: Li, Shibo, et al.
Published: (2025)
Bayesian Semiparametric Multivariate Density Regression with Coordinate-Wise Predictor Selection
by: Toto, Giovanni, et al.
Published: (2026)
by: Toto, Giovanni, et al.
Published: (2026)
Bayesian Variational Inference for Mixed Data Mixture Models
by: Wang, Junyang, et al.
Published: (2025)
by: Wang, Junyang, et al.
Published: (2025)
Variational Bayesian Logistic Tensor Regression with Application to Image Recognition
by: Jin, Yunzhi, et al.
Published: (2025)
by: Jin, Yunzhi, et al.
Published: (2025)
Similar Items
-
Cyclic-Shift Sparse Kronecker Tensor Classifier for Signal-Region Detection in Neuroimaging
by: Huang, Hsin-Hsiung, et al.
Published: (2025) -
Bayesian sparse principal coordinates analysis with delta-tolerant linear approximation for microbiome data
by: Huang, Hsin-Hsiung, et al.
Published: (2026) -
A Framework of Zero-Inflated Bayesian Negative Binomial Regression Models For Spatiotemporal Data
by: He, Qing, et al.
Published: (2024) -
Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors
by: Wang, Shao-Hsuan, et al.
Published: (2022) -
Bayesian low-rank latent-cluster regression for mixed health outcomes
by: Huang, Hsin-Hsiung, et al.
Published: (2026)