Spatially Varying Coefficient Models for Estimating Heterogeneous Mixture Effects
Fuente:
arXiv
Saved in:
| Main Authors: | Englert, Jacob, Chang, Howard |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design using BART
by: Englert, Jacob, et al.
Published: (2023)
by: Englert, Jacob, et al.
Published: (2023)
Modeling Joint Health Effects of Environmental Exposure Mixtures with Bayesian Additive Regression Trees
by: Englert, Jacob, et al.
Published: (2024)
by: Englert, Jacob, et al.
Published: (2024)
svc: An R package for Spatially Varying Coefficient Models
by: Akuoko-Frimpong, Justice, et al.
Published: (2025)
by: Akuoko-Frimpong, Justice, et al.
Published: (2025)
Discovering Spatial Patterns of Readmission Risk Using a Bayesian Competing Risks Model with Spatially Varying Coefficients
by: Shen, Yueming, et al.
Published: (2025)
by: Shen, Yueming, et al.
Published: (2025)
Modelling the Spatially Varying Non-Linear Effects of Heat Exposure
by: Chen, Xinyi, et al.
Published: (2025)
by: Chen, Xinyi, et al.
Published: (2025)
Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
by: Ng, Edwin, et al.
Published: (2021)
by: Ng, Edwin, et al.
Published: (2021)
Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
by: Lu, Yu, et al.
Published: (2026)
by: Lu, Yu, et al.
Published: (2026)
Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
by: Zhang, Danlu, et al.
Published: (2025)
by: Zhang, Danlu, et al.
Published: (2025)
What Influences the Field Goal Attempts of Professional Players? Analysis of Basketball Shot Charts via Log Gaussian Cox Processes with Spatially Varying Coefficients
by: Cao, Jiahao, et al.
Published: (2025)
by: Cao, Jiahao, et al.
Published: (2025)
Fusing Climate Data Products using a Spatially Varying Autoencoder
by: Johnson, Jacob A., et al.
Published: (2024)
by: Johnson, Jacob A., et al.
Published: (2024)
Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations
by: Janicki, Ryan, et al.
Published: (2020)
by: Janicki, Ryan, et al.
Published: (2020)
Estimation of Heterogeneous Causal Mediation Effects in a Hypertension Treatment Trial
by: Zhao, Yi, et al.
Published: (2025)
by: Zhao, Yi, et al.
Published: (2025)
Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
by: Sottosanti, Andrea, et al.
Published: (2025)
by: Sottosanti, Andrea, et al.
Published: (2025)
Estimating Time-Varying Epidemic Severity Rates with Adaptive Deconvolution
by: Goldwasser, Jeremy, et al.
Published: (2025)
by: Goldwasser, Jeremy, et al.
Published: (2025)
Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial with Causal Forests
by: Sverdrup, Erik, et al.
Published: (2024)
by: Sverdrup, Erik, et al.
Published: (2024)
Using Geographically Weighted Models to Explore Temporal and Spatial Varying Impacts on Commute Trip Change Due to Covid-19
by: Namadi, Saeed Saleh, et al.
Published: (2024)
by: Namadi, Saeed Saleh, et al.
Published: (2024)
Uncovering Heterogeneity of Solar Flare Mechanism With Mixture Models
by: Do, Bach Viet, et al.
Published: (2024)
by: Do, Bach Viet, et al.
Published: (2024)
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)
Spatially Varying Deep Functional Neural Network: Application in Large-Scale Crop Yield Prediction
by: Park, Yeonjoo, et al.
Published: (2025)
by: Park, Yeonjoo, et al.
Published: (2025)
Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)
by: Goplerud, Max, et al.
Published: (2022)
Shifting the Paradigm: Estimating Heterogeneous Treatment Effects in the Development of Walkable Cities Design
by: Zhu, Jie, et al.
Published: (2024)
by: Zhu, Jie, et al.
Published: (2024)
Estimating Interpretable Heterogeneous Treatment Effect with Causal Subgroup Discovery in Survival Outcomes
by: Bo, Na, et al.
Published: (2024)
by: Bo, Na, 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 Spatio-Temporal Dirichlet Process Mixture Model on Linear Networks for Crime Data
by: Lee, Sujeong, et al.
Published: (2025)
by: Lee, Sujeong, et al.
Published: (2025)
Latent Spatial Heterogeneity in U.S. Cancer Mortality: A Multi-Site Clustering and Spatial Autocorrelation Analysis
by: Kubuafor, E., et al.
Published: (2025)
by: Kubuafor, E., et al.
Published: (2025)
Spatial Joint Species N-Mixture Models for Multi-Source Observational Data with Application to Wild Deer Population Abundance
by: Hurley, Aoife K., et al.
Published: (2023)
by: Hurley, Aoife K., et al.
Published: (2023)
Estimating Heterogenous Treatment Effects for Survival Data with Doubly Doubly Robust Estimator
by: Pan, Guanghui
Published: (2024)
by: Pan, Guanghui
Published: (2024)
Beyond Point Estimates: Toward Proper Statistical Inferencing and Reporting of Intraclass Correlation Coefficients
by: Liu, Yufeng, et al.
Published: (2026)
by: Liu, Yufeng, et al.
Published: (2026)
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)
Mixture of Finite Mixtures Model for Basket Trial
by: Geng, Junxian, et al.
Published: (2020)
by: Geng, Junxian, et al.
Published: (2020)
Makeham Mortality Models as Mixtures
by: Patricio, Silvio C., et al.
Published: (2023)
by: Patricio, Silvio C., et al.
Published: (2023)
Risk Estimate under a Time-Varying Autoregressive Model for Data-Driven Reproduction Number Estimation
by: Pascal, Barbara, et al.
Published: (2024)
by: Pascal, Barbara, et al.
Published: (2024)
A Finite Mixture Hidden Markov Model for Intermittently Observed Disease Process with Heterogeneity and Partially Known Disease Type
by: Shi, Yidan, et al.
Published: (2024)
by: Shi, Yidan, et al.
Published: (2024)
Spatially Selected and Dependent Random Effects for Small Area Estimation with Application to Rent Burden
by: Kawano, Sho, et al.
Published: (2024)
by: Kawano, Sho, et al.
Published: (2024)
A Bayesian Finite Mixture Model Approach for Mixed-type Data Clustering and Variable Selection with Censored Biomarkers
by: Wang, Yueting, et al.
Published: (2026)
by: Wang, Yueting, et al.
Published: (2026)
Small Area Estimation of Inequality Measures using Mixtures of Beta
by: De Nicolò, Silvia, et al.
Published: (2022)
by: De Nicolò, Silvia, et al.
Published: (2022)
Using Proxy Pattern-Mixture Models to Explain Bias in Estimates of COVID-19 Vaccine Uptake from Two Large Surveys
by: Andridge, Rebecca R
Published: (2023)
by: Andridge, Rebecca R
Published: (2023)
Flexible Estimation of the Heterogeneous Non-Parametric Component in a Relative Survival Cure Model
by: Di Mari, Fabrizio, et al.
Published: (2025)
by: Di Mari, Fabrizio, et al.
Published: (2025)
Functional-Coefficient Models for Multivariate Time Series in Designed Experiments: with Applications to Brain Signals
by: Redondo, Paolo Victor, et al.
Published: (2022)
by: Redondo, Paolo Victor, et al.
Published: (2022)
Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
by: Dimitriou, Evangelos, et al.
Published: (2024)
by: Dimitriou, Evangelos, et al.
Published: (2024)
Similar Items
-
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design using BART
by: Englert, Jacob, et al.
Published: (2023) -
Modeling Joint Health Effects of Environmental Exposure Mixtures with Bayesian Additive Regression Trees
by: Englert, Jacob, et al.
Published: (2024) -
svc: An R package for Spatially Varying Coefficient Models
by: Akuoko-Frimpong, Justice, et al.
Published: (2025) -
Discovering Spatial Patterns of Readmission Risk Using a Bayesian Competing Risks Model with Spatially Varying Coefficients
by: Shen, Yueming, et al.
Published: (2025) -
Modelling the Spatially Varying Non-Linear Effects of Heat Exposure
by: Chen, Xinyi, et al.
Published: (2025)