Copertina

Multivariate Causal Effects: a Bayesian Causal Regression Factor Model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zorzetto, Dafne, Landy, Jenna, Zigler, Corwin, Parmigiani, Giovanni, De Vito, Roberta
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Causal Inference for Latent Outcomes Learned with Factor Models
di: Landy, Jenna M., et al.
Pubblicazione: (2025)

Sparse Bayesian Factor Models with Mass-Nonlocal Factor Scores
di: Huang, Yingjie, et al.
Pubblicazione: (2024)

Bayesian Nonparametric Trees for Principal Causal Effects
di: Kim, Chanmin, et al.
Pubblicazione: (2024)

Bayesian Nonparametric Causal Inference for High-Dimensional Nutritional Data via Factor-Based Exposure Mapping
di: Zorzetto, Dafne, et al.
Pubblicazione: (2026)

Bayesian Non-Negative Matrix Factorization with Correlated Mutation Type Probabilities for Mutational Signatures
di: Lang, Iris, et al.
Pubblicazione: (2025)

Zero-Inflated Bayesian Multi-Study Infinite Non-Negative Matrix Factorization
di: Hansen, Blake, et al.
Pubblicazione: (2025)

Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
di: Antonelli, Joseph, et al.
Pubblicazione: (2024)

fdrSAFE: Selective Aggregation for Local False Discovery Rate Estimation
di: Landy, Jenna M., et al.
Pubblicazione: (2024)

bayesNMF: Fast Bayesian Poisson NMF with Automatically Learned Rank Applied to Mutational Signatures
di: Landy, Jenna M., et al.
Pubblicazione: (2025)

Causal health impacts of power plant emission controls under modeled and uncertain physical process interference
di: Wikle, Nathan B., et al.
Pubblicazione: (2023)

Bayesian Probit Multi-Study Non-negative Matrix Factorization for Mutational Signatures
di: Hansen, Blake, et al.
Pubblicazione: (2025)

A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
di: Hu, Jie Kate, et al.
Pubblicazione: (2023)

Disentangling network dependence among multiple variables
di: Dong, Zhejia, et al.
Pubblicazione: (2025)

Characterizing the Effects of Environmental Exposures on Social Mobility: Bayesian Semi-parametrics for Principal Stratification
di: Zorzetto, Dafne, et al.
Pubblicazione: (2024)

Flexible and Efficient Estimation of Causal Effects with Error-Prone Exposures: A Control Variates Approach for Measurement Error
di: Barnatchez, Keith, et al.
Pubblicazione: (2024)

Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements
di: Barnatchez, Keith, et al.
Pubblicazione: (2025)

Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
di: Zorzetto, Dafne, et al.
Pubblicazione: (2024)

Bayesian Semiparametric Multivariate Density Regression with Coordinate-Wise Predictor Selection
di: Toto, Giovanni, et al.
Pubblicazione: (2026)

Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
di: Hansen, Blake, et al.
Pubblicazione: (2023)

Multivariate Zero-Inflated Causal Model for Regional Mobility Restriction Effects on Consumer Spending
di: Hong, Taekwon, et al.
Pubblicazione: (2025)

Causal Effect Estimation with Learned Instrument Representations
di: Dean, Frances, et al.
Pubblicazione: (2026)

Causal Spatial Quantile Regression
di: Gong, Yan, et al.
Pubblicazione: (2025)

Regression-Based Proximal Causal Inference
di: Liu, Jiewen, et al.
Pubblicazione: (2024)

Bayesian Nonparametric Modeling for Multivariate Conditional Copula Regression with Varying Coefficients
di: Jeong, Yujin, et al.
Pubblicazione: (2026)

Bayesian Causal Effect Estimation for Categorical Data using Staged Tree Models
di: Cremaschi, Andrea, et al.
Pubblicazione: (2025)

Causal Discovery in Multivariate Extremes via Tail Asymmetry
di: Li, Mengran, et al.
Pubblicazione: (2026)

Robust Bayesian Inference of Causal Effects via Randomization Distributions
di: Huch, Easton, et al.
Pubblicazione: (2025)

Bayesian Causal Synthesis for Meta-Inference on Heterogeneous Treatment Effects
di: Sugasawa, Shonosuke, et al.
Pubblicazione: (2023)

Survivor Average Causal Effects for Continuous Time: A Principal Stratification Approach to Causal Inference With Semicompeting Risks
di: Leah Comment, et al.
Pubblicazione: (2025)

Causal Interpretation of Regressions With Ranks
di: Lei, Lihua
Pubblicazione: (2024)

Aggregate Bayesian Causal Forests: The ABCs of Flexible Causal Inference for Hierarchically Structured Data
di: Thal, Dan R. C., et al.
Pubblicazione: (2024)

Bayesian Multivariate Density-Density Regression
di: Nguyen, Khai, et al.
Pubblicazione: (2025)

Causal Inference under Interference: Regression Adjustment and Optimality
di: Fan, Xinyuan, et al.
Pubblicazione: (2025)

Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs
di: Forastiere, Laura, et al.
Pubblicazione: (2022)

Does Regression Produce Representative Causal Rankings?
di: Lal, Apoorva
Pubblicazione: (2024)

Causal Meta-Analysis by Integrating Multiple Observational Studies with Multivariate Outcomes
di: Guha, Subharup, et al.
Pubblicazione: (2023)

Causal Inference for Unobservable Multivariate Outcomes, with Applications to Brain Effective Connectivity
di: Song, Haiyue, et al.
Pubblicazione: (2026)

Bayesian Multiple Multivariate Density-Density Regression
di: Nguyen, Khai, et al.
Pubblicazione: (2026)

Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
di: Hafer, Marlies, et al.
Pubblicazione: (2025)

Bayesian Causal Discovery with Cycles and Latent Confounders
di: Jin, Wei, et al.
Pubblicazione: (2025)