Compositional Outcomes and Environmental Mixtures: the Dirichlet Bayesian Weighted Quantile Sum Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Saddiki, Hachem, Warren, Joshua L., Lesseur, Corina, Colicino, Elena |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)
by: Lyu, Rongke, et al.
Published: (2026)
Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by: Katz, Harrison, et al.
Published: (2025)
by: Katz, Harrison, et al.
Published: (2025)
A Bayesian Dirichlet Auto-Regressive Moving Average Model for Forecasting Lead Times
by: Katz, Harrison, et al.
Published: (2023)
by: Katz, Harrison, et al.
Published: (2023)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)
by: Dempsey, Daniel, et al.
Published: (2024)
Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
by: Comess, Saskia, et al.
Published: (2025)
by: Comess, Saskia, et al.
Published: (2025)
A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
by: Erlandson, Brody, et al.
Published: (2026)
by: Erlandson, Brody, et al.
Published: (2026)
Multi-Fidelity Quantile Regression
by: Liu, Yixiang, et al.
Published: (2026)
by: Liu, Yixiang, et al.
Published: (2026)
MM Algorithms for Statistical Estimation in Quantile Regression
by: Cheng, Yifan, et al.
Published: (2024)
by: Cheng, Yifan, et al.
Published: (2024)
Prior selection for the precision parameter of Dirichlet Process Mixtures
by: Vicentini, Carlo, et al.
Published: (2025)
by: Vicentini, Carlo, et al.
Published: (2025)
Nonlocal Prior Mixture-Based Bayesian Wavelet Regression with Application to Noisy Imaging and Audio Data
by: Sanyal, Nilotpal
Published: (2025)
by: Sanyal, Nilotpal
Published: (2025)
Quantile Predictions for Equity Premium using Penalized Quantile Regression with Consistent Variable Selection across Multiple Quantiles
by: Li, Shaobo, et al.
Published: (2025)
by: Li, Shaobo, et al.
Published: (2025)
Bayesian Modal Regression based on Mixture Distributions
by: Liu, Qingyang, et al.
Published: (2022)
by: Liu, Qingyang, et al.
Published: (2022)
A Semiparametric Quantile Single-Index Model for Zero-Inflated Outcomes
by: Wang, Zirui, et al.
Published: (2025)
by: Wang, Zirui, et al.
Published: (2025)
Functional Mixture Regression Control Chart
by: Capezza, Christian, et al.
Published: (2024)
by: Capezza, Christian, et al.
Published: (2024)
A Tutorial on Conducting Mediation Analysis with Exposure Mixtures
by: Wang, Yiran, et al.
Published: (2025)
by: Wang, Yiran, et al.
Published: (2025)
Scalable Ultra-High-Dimensional Quantile Regression with Genomic Applications
by: Wu, Hanqing, et al.
Published: (2026)
by: Wu, Hanqing, et al.
Published: (2026)
Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients
by: Meng, Jingcheng, et al.
Published: (2024)
by: Meng, Jingcheng, et al.
Published: (2024)
Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
by: Bae, Woojung, et al.
Published: (2026)
by: Bae, Woojung, et al.
Published: (2026)
Proxy Variable in OECD Database: Application of Parametric Quantile Regression and Median Based Unit Rayleigh Distribution
by: Attia, Iman Mohamed
Published: (2025)
by: Attia, Iman Mohamed
Published: (2025)
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)
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
by: Feldman, Joseph, et al.
Published: (2023)
by: Feldman, Joseph, et al.
Published: (2023)
Diagnostics for Regression Models with Semicontinuous Outcomes
by: Yang, Lu
Published: (2024)
by: Yang, Lu
Published: (2024)
Identifying Genetic Variants for Obesity: A Knowledge Integration Quantile Regression (KIQR) Approach for Ultra-High-Dimensional Data
by: Wang, Jiantong, et al.
Published: (2024)
by: Wang, Jiantong, et al.
Published: (2024)
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)
On Weighted Trigonometric Regression for Suboptimal Designs in Circadian Biology Studies
by: Gorczyca, Michael, et al.
Published: (2024)
by: Gorczyca, Michael, et al.
Published: (2024)
Informed Asymmetric Dirichlet Priors for Multivariate Bernoulli Mixture Models
by: Ferrari, Luisa, et al.
Published: (2026)
by: Ferrari, Luisa, et al.
Published: (2026)
Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
by: Pintado, Maria F., et al.
Published: (2023)
by: Pintado, Maria F., et al.
Published: (2023)
JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)
by: Dey, Pritam, et al.
Published: (2026)
Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)
by: Chen, Tinghua, et al.
Published: (2024)
Linked-Tucker Factorized Individualized Regression for Paired Multivariate Categorical Outcomes
by: Roy, Arkaprava, et al.
Published: (2026)
by: Roy, Arkaprava, et al.
Published: (2026)
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes
by: Yang, Lu
Published: (2023)
by: Yang, Lu
Published: (2023)
Bayesian Rank-Clustering
by: Pearce, Michael, et al.
Published: (2024)
by: Pearce, Michael, et al.
Published: (2024)
Quantile regression with generalized multiquadric loss function
by: Gao, Wenwu, et al.
Published: (2025)
by: Gao, Wenwu, et al.
Published: (2025)
Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference
by: Shen, Andy A., et al.
Published: (2025)
by: Shen, Andy A., et al.
Published: (2025)
Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)
by: Li, Qiushuang, et al.
Published: (2025)
Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
by: Chang, Peter, et al.
Published: (2025)
by: Chang, Peter, et al.
Published: (2025)
Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
by: Ortholand, Juliette, et al.
Published: (2026)
by: Ortholand, Juliette, et al.
Published: (2026)
Bayesian Methods for Modeling Cumulative Exposure to Extensive Environmental Health Hazards
by: Trangucci, Rob, et al.
Published: (2024)
by: Trangucci, Rob, et al.
Published: (2024)
Understanding Spatial Regression Models from a Weighting Perspective in an Observational Study of Superfund Remediation
by: Woodward, Sophie M., et al.
Published: (2025)
by: Woodward, Sophie M., et al.
Published: (2025)
Similar Items
-
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026) -
Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by: Katz, Harrison, et al.
Published: (2025) -
A Bayesian Dirichlet Auto-Regressive Moving Average Model for Forecasting Lead Times
by: Katz, Harrison, et al.
Published: (2023) -
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024) -
Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
by: Comess, Saskia, et al.
Published: (2025)