Bayesian Multivariate Density-Density Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Khai, Ni, Yang, Mueller, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Multiple Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2026)
by: Nguyen, Khai, et al.
Published: (2026)
Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
by: Arpogaus, Marcel, et al.
Published: (2025)
by: Arpogaus, Marcel, et al.
Published: (2025)
Vertical Consensus Inference for High-Dimensional Random Partition
by: Nguyen, Khai, et al.
Published: (2026)
by: Nguyen, Khai, et al.
Published: (2026)
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
by: Feldman, Joseph, et al.
Published: (2023)
by: Feldman, Joseph, et al.
Published: (2023)
Inference for Large Scale Regression Models with Dependent Errors
by: Voirol, Lionel, et al.
Published: (2024)
by: Voirol, Lionel, et al.
Published: (2024)
Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
by: Yang, Yumo, et al.
Published: (2025)
by: Yang, Yumo, et al.
Published: (2025)
Online Distributional Regression
by: Hirsch, Simon, et al.
Published: (2024)
by: Hirsch, Simon, et al.
Published: (2024)
Domain Generalization and Adaptation in Intensive Care with Anchor Regression
by: Londschien, Malte, et al.
Published: (2025)
by: Londschien, Malte, et al.
Published: (2025)
Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
by: Zeng, Cheng, et al.
Published: (2025)
by: Zeng, Cheng, et al.
Published: (2025)
Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Bayesian Pliable Lasso with Horseshoe Prior for Interaction Effects in GLMs with Missing Responses
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
by: Chakraborty, Atlanta, et al.
Published: (2024)
by: Chakraborty, Atlanta, et al.
Published: (2024)
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
by: Goh, Yong Chen, et al.
Published: (2024)
by: Goh, Yong Chen, et al.
Published: (2024)
Zero-inflation in the Multivariate Poisson Lognormal Family
by: Batardière, Bastien, et al.
Published: (2024)
by: Batardière, Bastien, et al.
Published: (2024)
Additive Density Regression
by: Maier, Eva-Maria, et al.
Published: (2025)
by: Maier, Eva-Maria, et al.
Published: (2025)
A Semiparametric Bayesian Method for Instrumental Variable Analysis with Partly Interval-Censored Time-to-Event Outcome
by: Cui, Elvis Han, et al.
Published: (2025)
by: Cui, Elvis Han, et al.
Published: (2025)
Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations
by: Jonker, Marianne A, et al.
Published: (2024)
by: Jonker, Marianne A, et al.
Published: (2024)
Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
by: Nakamoto, Carter H., et al.
Published: (2025)
by: Nakamoto, Carter H., et al.
Published: (2025)
Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
by: Stone, Adam J., et al.
Published: (2025)
by: Stone, Adam J., et al.
Published: (2025)
Multi-Fidelity Quantile Regression
by: Liu, Yixiang, et al.
Published: (2026)
by: Liu, Yixiang, et al.
Published: (2026)
A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
by: Fazeli-Asl, Forough, et al.
Published: (2023)
by: Fazeli-Asl, Forough, et al.
Published: (2023)
Robust Spectral Fuzzy Clustering of Multivariate Time Series with Applications to Electroencephalogram
by: Ma, Ziling, et al.
Published: (2025)
by: Ma, Ziling, et al.
Published: (2025)
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age
by: Matabuena, Marcos
Published: (2025)
by: Matabuena, Marcos
Published: (2025)
Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting
by: Iong, Daniel, et al.
Published: (2024)
by: Iong, Daniel, et al.
Published: (2024)
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
by: Zhu, Haonan, et al.
Published: (2025)
by: Zhu, Haonan, et al.
Published: (2025)
Nested Atoms Model with Application to Clustering Big Population-Scale Single-Cell Data
by: Chakrabarti, Arhit, et al.
Published: (2026)
by: Chakrabarti, Arhit, et al.
Published: (2026)
Neural Networks for Extreme Quantile Regression with an Application to Forecasting of Flood Risk
by: Pasche, Olivier C., et al.
Published: (2022)
by: Pasche, Olivier C., et al.
Published: (2022)
Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
by: Shen, Yixin, et al.
Published: (2025)
by: Shen, Yixin, et al.
Published: (2025)
Tail-adaptive Bayesian shrinkage
by: Lee, Se Yoon, et al.
Published: (2020)
by: Lee, Se Yoon, et al.
Published: (2020)
Donor's Deferral and Return Behavior: Partial Identification from a Regression Discontinuity Design with Manipulation
by: Rosenman, Evan, et al.
Published: (2019)
by: Rosenman, Evan, et al.
Published: (2019)
Sample Efficient Bayesian Learning of Causal Graphs from Interventions
by: Zhou, Zihan, et al.
Published: (2024)
by: Zhou, Zihan, et al.
Published: (2024)
Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
by: Wu, Yufei, et al.
Published: (2024)
by: Wu, Yufei, et al.
Published: (2024)
Bayesian temporal biclustering with applications to multi-subject neuroscience studies
by: Ricci, Federica Zoe, et al.
Published: (2024)
by: Ricci, Federica Zoe, et al.
Published: (2024)
Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
by: Saxena, Manan, et al.
Published: (2024)
by: Saxena, Manan, et al.
Published: (2024)
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
by: Fisher, Jared D., et al.
Published: (2024)
by: Fisher, Jared D., et al.
Published: (2024)
A Bayesian Framework for Causal Analysis of Recurrent Events with Timing Misalignment
by: Oganisian, Arman, et al.
Published: (2023)
by: Oganisian, Arman, et al.
Published: (2023)
Conformal Prediction for Nonparametric Instrumental Regression
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
A Nonparametric Adaptive EWMA Control Chart for Binary Monitoring of Multiple Stream Processes
by: Muritala, Faruk, et al.
Published: (2026)
by: Muritala, Faruk, et al.
Published: (2026)
Similar Items
-
Bayesian Multiple Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2026) -
Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
by: Nguyen, Khai, et al.
Published: (2024) -
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
by: Arpogaus, Marcel, et al.
Published: (2025) -
Vertical Consensus Inference for High-Dimensional Random Partition
by: Nguyen, Khai, et al.
Published: (2026) -
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
by: Feldman, Joseph, et al.
Published: (2023)