Causal Inference for Latent Outcomes Learned with Factor Models
Fuente:
arXiv
Saved in:
| Main Authors: | Landy, Jenna M., Zorzetto, Dafne, De Vito, Roberta, Parmigiani, Giovanni |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multivariate Causal Effects: a Bayesian Causal Regression Factor Model
by: Zorzetto, Dafne, et al.
Published: (2025)
by: Zorzetto, Dafne, 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 Nonparametric Causal Inference for High-Dimensional Nutritional Data via Factor-Based Exposure Mapping
by: Zorzetto, Dafne, et al.
Published: (2026)
by: Zorzetto, Dafne, et al.
Published: (2026)
fdrSAFE: Selective Aggregation for Local False Discovery Rate Estimation
by: Landy, Jenna M., et al.
Published: (2024)
by: Landy, Jenna M., et al.
Published: (2024)
Bayesian Non-Negative Matrix Factorization with Correlated Mutation Type Probabilities for Mutational Signatures
by: Lang, Iris, et al.
Published: (2025)
by: Lang, Iris, et al.
Published: (2025)
Zero-Inflated Bayesian Multi-Study Infinite Non-Negative Matrix Factorization
by: Hansen, Blake, et al.
Published: (2025)
by: Hansen, Blake, et al.
Published: (2025)
bayesNMF: Fast Bayesian Poisson NMF with Automatically Learned Rank Applied to Mutational Signatures
by: Landy, Jenna M., et al.
Published: (2025)
by: Landy, Jenna M., et al.
Published: (2025)
Bayesian Probit Multi-Study Non-negative Matrix Factorization for Mutational Signatures
by: Hansen, Blake, et al.
Published: (2025)
by: Hansen, Blake, et al.
Published: (2025)
A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
by: Hu, Jie Kate, et al.
Published: (2023)
by: Hu, Jie Kate, et al.
Published: (2023)
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
by: Hansen, Blake, et al.
Published: (2023)
by: Hansen, Blake, et al.
Published: (2023)
Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements
by: Barnatchez, Keith, et al.
Published: (2025)
by: Barnatchez, Keith, et al.
Published: (2025)
Doubly Robust Inference in Causal Latent Factor Models
by: Abadie, Alberto, et al.
Published: (2024)
by: Abadie, Alberto, et al.
Published: (2024)
A Latent Factor Panel Approach to Spatiotemporal Causal Inference
by: Wu, Jiaxi, et al.
Published: (2025)
by: Wu, Jiaxi, et al.
Published: (2025)
Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
by: Zorzetto, Dafne, et al.
Published: (2024)
by: Zorzetto, Dafne, et al.
Published: (2024)
Characterizing the Effects of Environmental Exposures on Social Mobility: Bayesian Semi-parametrics for Principal Stratification
by: Zorzetto, Dafne, et al.
Published: (2024)
by: Zorzetto, Dafne, et al.
Published: (2024)
Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
by: Fu, Jiawei, et al.
Published: (2025)
by: Fu, Jiawei, et al.
Published: (2025)
Flexible and Efficient Estimation of Causal Effects with Error-Prone Exposures: A Control Variates Approach for Measurement Error
by: Barnatchez, Keith, et al.
Published: (2024)
by: Barnatchez, Keith, et al.
Published: (2024)
Identifiability and Inference for Generalized Latent Factor Models
by: Cui, Chengyu, et al.
Published: (2025)
by: Cui, Chengyu, et al.
Published: (2025)
Bayesian Propensity Score-Augmented Latent Factor Models for Causal Inference with Time-Series Cross-Sectional Data
by: Liu, Licheng
Published: (2026)
by: Liu, Licheng
Published: (2026)
Proximal Causal Inference for Hidden Outcomes
by: Guo, Helen, et al.
Published: (2026)
by: Guo, Helen, et al.
Published: (2026)
Poisson process factorization for mutational signature analysis with genomic covariates
by: Zito, Alessandro, et al.
Published: (2025)
by: Zito, Alessandro, et al.
Published: (2025)
Causal Inference with Missing Exposures and Missing Outcomes
by: Landsiedel, Kirsten E., et al.
Published: (2025)
by: Landsiedel, Kirsten E., et al.
Published: (2025)
Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning
by: Shyr, Cathy, et al.
Published: (2023)
by: Shyr, Cathy, et al.
Published: (2023)
Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)
by: Nie, Junzhu, et al.
Published: (2026)
Adjusting for Ascertainment Bias in Meta-Analysis of Penetrance for Cancer Risk
by: Ruberu, Thanthirige Lakshika M., et al.
Published: (2024)
by: Ruberu, Thanthirige Lakshika M., et al.
Published: (2024)
Estimating Gaussian graphical models of multi-study data with Multi-Study Factor Analysis
by: Shutta, Katherine H., et al.
Published: (2022)
by: Shutta, Katherine H., et al.
Published: (2022)
Causal Inference on Outcomes Learned from Text
by: Modarressi, Iman, et al.
Published: (2025)
by: Modarressi, Iman, et al.
Published: (2025)
Nonparametric Identification and Estimation of Causal Effects on Latent Outcomes
by: Fu, Jiawei, et al.
Published: (2026)
by: Fu, Jiawei, et al.
Published: (2026)
Causal Inference when Intervention Units and Outcome Units Differ
by: Papadogeorgou, Georgia, et al.
Published: (2025)
by: Papadogeorgou, Georgia, et al.
Published: (2025)
Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational Perspectives
by: Behdin, Kayhan, et al.
Published: (2022)
by: Behdin, Kayhan, et al.
Published: (2022)
A Latent Causal Inference Framework for Ordinal Variables
by: Scauda, Martina, et al.
Published: (2025)
by: Scauda, Martina, et al.
Published: (2025)
Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
Causal Inference for Unobservable Multivariate Outcomes, with Applications to Brain Effective Connectivity
by: Song, Haiyue, et al.
Published: (2026)
by: Song, Haiyue, et al.
Published: (2026)
Causal Inference with Latent Variables: Recent Advances and Future Prospectives
by: Zhu, Yaochen, et al.
Published: (2024)
by: Zhu, Yaochen, et al.
Published: (2024)
Causal Inference for Preprocessed Outcomes with an Application to Functional Connectivity
by: Wang, Zihang, et al.
Published: (2026)
by: Wang, Zihang, et al.
Published: (2026)
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)
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
by: Du, Jin-Hong, et al.
Published: (2024)
by: Du, Jin-Hong, et al.
Published: (2024)
Ridge Regularized Estimation of VAR Models for Inference
by: Ballarin, Giovanni
Published: (2021)
by: Ballarin, Giovanni
Published: (2021)
Causal Effect Estimation with Learned Instrument Representations
by: Dean, Frances, et al.
Published: (2026)
by: Dean, Frances, et al.
Published: (2026)
Cross-validation Approaches for Multi-study Predictions
by: Ren, Boyu, et al.
Published: (2020)
by: Ren, Boyu, et al.
Published: (2020)
Similar Items
-
Multivariate Causal Effects: a Bayesian Causal Regression Factor Model
by: Zorzetto, Dafne, et al.
Published: (2025) -
Sparse Bayesian Factor Models with Mass-Nonlocal Factor Scores
by: Huang, Yingjie, et al.
Published: (2024) -
Bayesian Nonparametric Causal Inference for High-Dimensional Nutritional Data via Factor-Based Exposure Mapping
by: Zorzetto, Dafne, et al.
Published: (2026) -
fdrSAFE: Selective Aggregation for Local False Discovery Rate Estimation
by: Landy, Jenna M., et al.
Published: (2024) -
Bayesian Non-Negative Matrix Factorization with Correlated Mutation Type Probabilities for Mutational Signatures
by: Lang, Iris, et al.
Published: (2025)